CN112187684A - Soft demodulation method, device, receiver and storage medium - Google Patents
Soft demodulation method, device, receiver and storage medium Download PDFInfo
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- CN112187684A CN112187684A CN202011066268.7A CN202011066268A CN112187684A CN 112187684 A CN112187684 A CN 112187684A CN 202011066268 A CN202011066268 A CN 202011066268A CN 112187684 A CN112187684 A CN 112187684A
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/06—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection
- H04L25/067—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection providing soft decisions, i.e. decisions together with an estimate of reliability
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The embodiment of the invention discloses a soft demodulation method, a soft demodulation device, a receiver and a storage medium. The method comprises the following steps: receiving a modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target group of bits; according to the dimension of a Hadamard matrix corresponding to the baseband signal and a matrix generation method, determining a binary attribution set corresponding to each bit in a group; calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value; and judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal. The technical scheme of the embodiment can perform soft demodulation on the baseband signal, and improve the demodulation performance.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a soft demodulation method, an apparatus, a receiver, and a storage medium.
Background
Currently, in order to better transmit a baseband signal, a baseband transmitter at a transmitting end modulates the baseband signal before transmitting the baseband signal. At the receiving end, the baseband receiver demodulates the modulated baseband signal to obtain the transmitted baseband signal.
In the prior art, a baseband receiver generally uses a hard demodulation method to demodulate a modulated baseband signal, that is, the used decision method is a hard decision, but the demodulation performance of the baseband signal corresponding to the decision method is poor.
Disclosure of Invention
The invention provides a soft demodulation method, a soft demodulation device, a receiver and a storage medium, which are used for realizing the soft demodulation of baseband signals and improving the demodulation performance.
In a first aspect, an embodiment of the present invention provides a soft demodulation method, including:
receiving a modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target group of bits;
according to the dimension of a Hadamard matrix corresponding to the baseband signal and a matrix generation method, determining a binary attribution set corresponding to each bit in a group;
calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value;
and judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal.
Optionally, receiving the modulated baseband signal and determining a demodulated soft value of the baseband signal includes:
receiving a modulated baseband signal, and performing fast Hadamard transformation on the baseband signal by adopting an N-order Hadamard matrix to obtain a symbol-based demodulation soft value;
and carrying out modulus value operation on the demodulation soft value according to the elements to obtain the modulus value of the demodulation soft value.
Optionally, determining a binary attribution set corresponding to each bit in a group according to the dimension of the hadamard matrix corresponding to the baseband signal and the matrix generation method includes:
converting each row number of the Hadamard matrix into binary number from decimal number;
determining a target position of each bit in the target bit group for each bit in the group;
and according to the dimension of the Hadamard matrix corresponding to the baseband signal and a matrix generation method, determining a binary attribution set corresponding to the bit according to the bit value on each binary number target position.
Optionally, determining, according to the dimension of the hadamard matrix corresponding to the baseband signal and the matrix generation method, a binary attribution set corresponding to each bit according to the bit value at each binary target position, including:
if the number of rows of the Hadamard matrix is equal to the number of columns, acquiring a first type binary number with a bit value equal to zero at a target position, and forming a decimal number corresponding to the first type binary number into a zero attribution set corresponding to the bit;
and acquiring a second binary number with the bit value equal to one at the target position, and forming a decimal number corresponding to the second binary number into an attribution set corresponding to the bit.
Optionally, determining, according to the dimension of the hadamard matrix corresponding to the baseband signal and the matrix generation method, a binary attribution set corresponding to each bit according to the bit value at each binary target position, including:
if the number of rows and the number of columns of the Hadamard matrix are not equal, acquiring a first type binary number of which the bit value at the target position is equal to zero and a second type binary number of which the bit value at the target position is equal to one;
determining a target mode for acquiring the associated decimal number according to the matrix generation method;
forming a zero attribution set corresponding to the bit positions by the decimal number corresponding to the first binary number and the first associated decimal number obtained according to the target mode;
and forming a decimal number corresponding to the binary number of the second type and a decimal number associated with the second type and acquired according to a target mode into an attribution set corresponding to the bit.
Optionally, calculating a likelihood value corresponding to each bit according to each binary belonging set and the soft demodulation value includes:
for each bit in the group, calculating a first soft value corresponding to the bit value of the bit being equal to zero according to the zero attribution set corresponding to the bit and the modulus value of the demodulation soft value;
calculating a second soft value corresponding to the bit value of the bit being equal to one according to a home set corresponding to the bit and the modulus value of the demodulated soft value;
and taking the difference value of the second soft value and the first soft value as the likelihood value corresponding to the bit.
Optionally, calculating a first soft value corresponding to the bit being equal to zero according to the zero belonging set corresponding to the bit and the modulus of the demodulated soft value, includes:
for each decimal number in the zero belonging set, obtaining an element with a number equal to the decimal number from the modulus value of the demodulation soft value;
and summing the acquired elements to obtain a first soft value corresponding to the bit equal to zero.
Optionally, the determining each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal includes:
comparing the likelihood value corresponding to each bit with a judgment threshold value, and judging each bit according to the comparison result to obtain a binary number corresponding to the target bit group;
the binary number is converted into a decimal number as a demodulated value corresponding to the baseband signal.
In a second aspect, an embodiment of the present invention further provides a soft demodulation apparatus, including:
the receiving module is used for receiving a baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target group of bits;
a determining module, configured to determine a binary attribution set corresponding to each bit in a group according to a dimension of a hadamard matrix corresponding to the baseband signal and a matrix generation method;
a calculating module, configured to calculate a likelihood value corresponding to each bit according to each binary attribution set and the soft demodulation value;
and the decision module is used for deciding each bit according to the likelihood value corresponding to each bit and obtaining the demodulation value corresponding to the baseband signal.
In a third aspect, an embodiment of the present invention further provides a receiver, where the receiver includes: a soft demodulation means; the soft demodulation apparatus is used to implement the soft demodulation method as provided in any embodiment of the present invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the soft demodulation method provided in any embodiment of the present invention.
According to the technical scheme of the embodiment of the invention, the modulated baseband signal is received, and the demodulation soft value of the baseband signal is determined; the baseband signal carries a target group of bits; according to the dimension of a Hadamard matrix corresponding to a baseband signal and a matrix generation method, determining a binary attribution set corresponding to each bit in a group; calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value; according to the likelihood value corresponding to each bit, each bit is judged, and the demodulation value corresponding to the baseband signal is obtained, so that the problem of poor demodulation performance caused by hard demodulation of the baseband signal in the prior art is solved, soft demodulation of the baseband signal is realized, and the demodulation performance is improved.
Drawings
Fig. 1 is a flowchart of a soft demodulation method according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a soft demodulation apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a receiver in a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a soft demodulation method in one embodiment of the present invention, and this embodiment is applicable to the case of demodulating a modulated baseband signal, and this method can be executed by a soft demodulation apparatus, which can be implemented by hardware and/or software and can be generally integrated in a receiver. As shown in fig. 1, the method includes:
In this embodiment, the baseband signal refers to a modulated signal obtained after a receiver descrambles a received signal, where the modulated signal carries a target bit group. The modulation signal is generated by converting a group of target bits transmitted on the Hadamard orthogonal spread spectrum signal into a corresponding decimal modulation value M through a transmitter, and mapping the Mth row of data of the Hadamard matrix into a modulation signal corresponding to the modulation value M.
Optionally, receiving the modulated baseband signal and determining a demodulated soft value of the baseband signal may include: receiving a modulated baseband signal, and performing fast Hadamard transformation on the baseband signal by adopting an N-order Hadamard matrix to obtain a symbol-based demodulation soft value; and carrying out modulus value operation on the demodulation soft value according to the elements to obtain the modulus value of the demodulation soft value.
In this embodiment, in order to demodulate the modulated baseband signal to obtain a decimal demodulated value corresponding to the baseband signal, after receiving the modulated baseband signal, the number of rows N of the hadamard matrix for modulation may be determined, and then the N-order hadamard matrix is used to perform fast hadamard transform on the baseband signal to obtain a symbol-based demodulated soft value
Wherein i denotes the row number of the Hadamard matrix, DiRepresenting demodulated soft values corresponding to row i of the hadamard matrix. Where the demodulation soft values are complex numbers in the form of a + bj, a and b may be any real numbers. Then by demodulating the soft values
Obtaining modulus of demodulated soft value by taking modulus value according to element
And step 120, determining a binary attribution set corresponding to each bit in the group according to the dimension of the Hadamard matrix corresponding to the baseband signal and a matrix generation method.
In this embodiment, in order to facilitate subsequent determination of the bit value on each bit of the target bit group, an attribution set and a zero attribution set corresponding to each bit need to be obtained first, where an attribution set may be used to determine a probability that the bit value of the corresponding bit is 1, and a zero attribution set may be used to determine a probability that the bit value of the corresponding bit is 0.
Optionally, determining a binary attribution set corresponding to each bit in a group according to the dimension of the hadamard matrix corresponding to the baseband signal and the matrix generation method may include: converting each row number of the Hadamard matrix into binary number from decimal number; determining a target position of each bit in the target bit group for each bit in the group; and according to the dimension of the Hadamard matrix corresponding to the baseband signal and a matrix generation method, determining a binary attribution set corresponding to the bit according to the bit value on each binary number target position.
In this embodiment, the row number of each decimal number of the hadamard matrix for modulation may be converted into a binary number, for example, the binary number corresponding to the decimal value i is bKbK-1…bk…b2b1The kth bit of the binary number corresponding to the decimal value i can be denoted as binary (i, k), and the binary (i, k) can only take a value of 0 or 1. For each bit in the target group of bits, the target position of the bit in the target group of bits is determined, e.g. b in the binary numberkThe corresponding bit, the target position in the binary number is k. And then, according to the dimension of a Hadamard matrix for modulation and an adopted matrix generation method, determining a selection rule of a binary attribution set, and according to the bit value of each binary number on a target position, determining an attribution set and a zero attribution set corresponding to the bit position.
Optionally, determining, according to the dimension of the hadamard matrix corresponding to the baseband signal and the matrix generation method, a binary attribution set corresponding to each bit according to the bit value at each binary target position, may include: if the number of rows of the Hadamard matrix is equal to the number of columns, acquiring a first type binary number with a bit value equal to zero at a target position, and forming a decimal number corresponding to the first type binary number into a zero attribution set corresponding to the bit; and acquiring a second binary number with the bit value equal to one at the target position, and forming a decimal number corresponding to the second binary number into an attribution set corresponding to the bit.
In this embodiment, the dimension of the hadamard matrix may be represented by L × N, and when N × L, the hadamard matrix is a square matrix with N rows and N columns, and at this time, local extraction is not required for the hadamard square matrix, so that only one hadamard matrix generation method is provided, and accordingly, only one selection rule for the binary attribution set is provided. At this time, for bit k at target position k in the group, a zero-attribute set of bit k may be obtained as Ik,0I | binary (I, k) ═ 0, which is the set of decimal numbers I corresponding to the first type of binary numbers with the kth bit 0, an attributed set of bits k is Ik,1Where i is 1, …, L, is the set of decimal numbers i corresponding to the second type of binary number with the k-th bit being 1.
Optionally, determining, according to the dimension of the hadamard matrix corresponding to the baseband signal and the matrix generation method, a binary attribution set corresponding to each bit according to the bit value at each binary target position, may include: if the number of rows and the number of columns of the Hadamard matrix are not equal, acquiring a first type binary number of which the bit value at the target position is equal to zero and a second type binary number of which the bit value at the target position is equal to one; determining a target mode for acquiring the associated decimal number according to the matrix generation method; forming a zero attribution set corresponding to the bit positions by the decimal number corresponding to the first binary number and the first associated decimal number obtained according to the target mode; and forming a decimal number corresponding to the binary number of the second type and a decimal number associated with the second type and acquired according to a target mode into an attribution set corresponding to the bit.
In this embodiment, when the number of rows and columns of the Hadamard matrix is not equal, i.e. L<N or L>When N, because there are many generation methods of hadamard matrices, there are also many selection rules of binary attribution sets, and an attribution set I of bit kk,1And zero-homing set Ik,0There are also a variety. At this time, to obtain a zero-homing set I of bits kk,0The decimal number I corresponding to the binary number of the first type with the k bit being 0 can be obtained firstly, then, according to the generation method of the Hadamard matrix, the target mode is selected to obtain other decimal numbers related to the selected decimal number, and the selected decimal number and the related other decimal numbers form a zero attribution set I with the bit kk,0. A home set I of bits kk,1With zero-homing set Ik,0The same way of obtaining.
Illustratively, when L is<When N, if the generation method of the Hadamard matrix is to extract only the first quarter row of the N-order Hadamard square matrix, then the row number of the Hadamard matrix is numbered
A zero-attribute set of bits k of
I.e. the decimal number i corresponding to the binary number with the k-th bit being 0 and
a set of (a); a home set of bits k of
I.e. the decimal number i corresponding to the binary number with the k-th bit being 1 and
a collection of (a).
In this embodiment, for the case that L < N, the generation method of the hadamard matrix may also be a continuous extraction method of extracting the last quarter of the N-th order hadamard matrix, or extracting the middle third of the N-th order hadamard matrix, or may also be a discontinuous extraction method of extracting one line from the N-th order hadamard matrix every other line, or extracting one line from the N-th order hadamard matrix every other three lines. For different matrix extraction modes, the associated decimal numbers are obtained in different modes, and are not described one by one here.
And step 130, calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value.
The demodulated soft value is a modulus of the demodulated soft value, and the likelihood value corresponding to each bit is a decision quantity, which can be used to decide the value of the bit.
Optionally, calculating a likelihood value corresponding to each bit according to each binary belonging set and the soft demodulation value may include: for each bit in the group, calculating a first soft value corresponding to the bit value of the bit being equal to zero according to the zero attribution set corresponding to the bit and the modulus value of the demodulation soft value; calculating a second soft value corresponding to the bit value of the bit being equal to one according to a home set corresponding to the bit and the modulus value of the demodulated soft value; and taking the difference value of the second soft value and the first soft value as the likelihood value corresponding to the bit.
In this embodiment, for the bit k, since the kth bit of the binary number corresponding to each decimal number included in the zero attribution set of the bit k is 0, the probability that the bit value of the bit k is 0, that is, the first soft value, may be calculated according to the zero attribution set of the bit k and the modulus value of the demodulation soft value. Accordingly, since the kth bit of the binary number corresponding to each decimal number included in the one attribution set of the bit k is 1, the probability that the bit value of the bit k is 1, that is, the second soft value, can be calculated according to the one attribution set of the bit k and the modulus of the demodulated soft value. Further, the difference between the second soft value and the first soft value may be used as the likelihood value of the bit k.
Optionally, calculating a first soft value corresponding to the bit being equal to zero according to the zero belonging set corresponding to the bit and the modulus of the demodulated soft value may include: for each decimal number in the zero belonging set, obtaining an element with a number equal to the decimal number from the modulus value of the demodulation soft value; and summing the acquired elements to obtain a first soft value corresponding to the bit equal to zero.
In this embodiment, for any bit k, for each decimal number i in the zero attribution set corresponding to the bit k, the modulus value D of the demodulation soft value corresponding to the decimal number i is obtainedabs,iAccording to the formula
Adding the modulus values of the demodulation soft values corresponding to each decimal number in the zero attribution set to calculate the bit value b of the bit kkThe probability of 0, i.e. the first soft value. Accordingly, according to the formula
Will correspond to each decimal number in a home setThe modulus values of the demodulated soft values of (a) are added to calculate the bit value b of the bit kkThe probability of 1, i.e. the second soft value. Thus, a likelihood value corresponding to bit k can be obtained
And step 140, judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal.
The demodulated value corresponding to the baseband signal is a decimal number corresponding to a target bit group carried by the baseband signal, and can be used for a receiver to perform operations such as decoding and the like on the baseband signal subsequently.
Optionally, the determining each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal may include: comparing the likelihood value corresponding to each bit with a judgment threshold value, and judging each bit according to the comparison result to obtain a binary number corresponding to the target bit group; the binary number is converted into a decimal number as a demodulated value corresponding to the baseband signal.
In this embodiment, a decision threshold may be preset, for example, the decision threshold is 0. Aiming at any bit k, obtaining the likelihood value LR corresponding to the bit kkThe likelihood value LR may then be comparedkComparing with a decision threshold if LRkMore than or equal to 0, the bit value b of the bit kk1 is ═ 1; if LRk<0, bit value b of bit kk0. Finally, a binary bit group b carried by the baseband signal can be obtainedKbK-1…bk…b2b1Decimal number corresponding to the binary number
I.e. the demodulated value.
Where K is a spreading factor of the orthogonal spreading signal, the bit number of the binary number finally obtained by the decision in this embodiment may not be equal to K, and actually, assuming that the number of bits carried in the baseband signal is b, the value of b is related to the dimension of the hadamard matrix. When the number of rows L of the hadamard matrix is equal to the number of columns N, b is equal to K, when the number of rows L of the hadamard matrix is smaller than the number of columns N, b < K, when the number of rows L of the hadamard matrix is larger than the number of columns N, b > K.
According to the technical scheme of the embodiment of the invention, the modulated baseband signal is received, and the demodulation soft value of the baseband signal is determined; the baseband signal carries a target group of bits; according to the dimension of a Hadamard matrix corresponding to a baseband signal and a matrix generation method, determining a binary attribution set corresponding to each bit in a group; calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value; according to the likelihood value corresponding to each bit, each bit is judged, and the demodulation value corresponding to the baseband signal is obtained, so that the problem of poor demodulation performance caused by hard demodulation of the baseband signal in the prior art is solved, soft demodulation of the baseband signal is realized, and the demodulation performance is improved.
Example two
Fig. 2 is a schematic structural diagram of a soft demodulation apparatus in the second embodiment of the present invention, and this embodiment is applicable to the case of demodulating a modulated baseband signal, and the apparatus may be implemented by hardware and/or software, and may be generally integrated in a receiver providing demodulation services. As shown in fig. 2, the apparatus includes:
a receiving module 210, configured to receive a baseband signal and determine a demodulation soft value of the baseband signal; the baseband signal carries a target group of bits;
a determining module 220, configured to determine a binary belonging set corresponding to each bit in a group according to a dimension of a hadamard matrix corresponding to the baseband signal and a matrix generation method;
a calculating module 230, configured to calculate a likelihood value corresponding to each bit according to each binary attribution set and the soft demodulation value;
the decision module 240 is configured to decide each bit according to the likelihood value corresponding to each bit, and obtain a demodulation value corresponding to the baseband signal.
According to the technical scheme of the embodiment of the invention, the modulated baseband signal is received, and the demodulation soft value of the baseband signal is determined; the baseband signal carries a target group of bits; according to the dimension of a Hadamard matrix corresponding to a baseband signal and a matrix generation method, determining a binary attribution set corresponding to each bit in a group; calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value; according to the likelihood value corresponding to each bit, each bit is judged, and the demodulation value corresponding to the baseband signal is obtained, so that the problem of poor demodulation performance caused by hard demodulation of the baseband signal in the prior art is solved, soft demodulation of the baseband signal is realized, and the demodulation performance is improved.
Optionally, the receiving module 210 is configured to:
receiving a modulated baseband signal, and performing fast Hadamard transformation on the baseband signal by adopting an N-order Hadamard matrix to obtain a symbol-based demodulation soft value;
and carrying out modulus value operation on the demodulation soft value according to the elements to obtain the modulus value of the demodulation soft value.
Optionally, the determining module 220 includes:
the conversion unit is used for converting each row number of the Hadamard matrix into binary number from decimal number;
a position determining unit, configured to determine, for each bit in the group, a target position of the bit in a target bit group;
and the set determining unit is used for determining a binary system attribution set corresponding to the bit according to the dimension of the Hadamard matrix corresponding to the baseband signal and the matrix generating method and the bit value on each binary system target position.
Optionally, the set determining unit is configured to:
if the number of rows of the Hadamard matrix is equal to the number of columns, acquiring a first type binary number with a bit value equal to zero at a target position, and forming a decimal number corresponding to the first type binary number into a zero attribution set corresponding to the bit;
and acquiring a second binary number with the bit value equal to one at the target position, and forming a decimal number corresponding to the second binary number into an attribution set corresponding to the bit.
Optionally, the set determining unit is configured to:
if the number of rows and the number of columns of the Hadamard matrix are not equal, acquiring a first type binary number of which the bit value at the target position is equal to zero and a second type binary number of which the bit value at the target position is equal to one;
determining a target mode for acquiring the associated decimal number according to the matrix generation method;
forming a zero attribution set corresponding to the bit positions by the decimal number corresponding to the first binary number and the first associated decimal number obtained according to the target mode;
and forming a decimal number corresponding to the binary number of the second type and a decimal number associated with the second type and acquired according to a target mode into an attribution set corresponding to the bit.
Optionally, the calculating module 230 includes:
a first calculating unit, configured to calculate, for each bit in a group, a first soft value corresponding to a bit value of the bit being equal to zero according to a zero belonging set corresponding to the bit and a modulus of the demodulated soft value;
a second calculating unit, configured to calculate, according to a home set corresponding to the bit and a modulus of the demodulated soft value, a second soft value corresponding to the bit equal to one;
and the difference value calculation unit is used for taking the difference value between the second soft value and the first soft value as the likelihood value corresponding to the bit.
Optionally, the first calculating unit is configured to:
for each decimal number in the zero belonging set, obtaining an element with a number equal to the decimal number from the modulus value of the demodulation soft value;
and summing the acquired elements to obtain a first soft value corresponding to the bit equal to zero.
Optionally, the decision module 240 is configured to:
comparing the likelihood value corresponding to each bit with a judgment threshold value, and judging each bit according to the comparison result to obtain a binary number corresponding to the target bit group;
the binary number is converted into a decimal number as a demodulated value corresponding to the baseband signal.
The soft demodulation device provided by the embodiment of the invention can execute the soft demodulation method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a receiver according to an embodiment of the present invention. Fig. 3 illustrates a block diagram of an exemplary receiver 12 suitable for use in implementing embodiments of the present invention. The receiver 12 shown in fig. 3 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.
As shown in fig. 3, the receiver 12 is in the form of a general purpose computing device. The components of the receiver 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The receiver 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by the receiver 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. The receiver 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, and commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The receiver 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with the receiver 12, and/or with any devices (e.g., network card, modem, etc.) that enable the receiver 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the receiver 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 20. As shown, the network adapter 20 communicates with the other modules of the receiver 12 over the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the receiver 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing, such as implementing the soft demodulation method provided by the embodiments of the present invention, by running a program stored in the system memory 28.
Namely: a method of implementing soft demodulation, comprising: receiving the modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target group of bits; according to the dimension of a Hadamard matrix corresponding to a baseband signal and a matrix generation method, determining a binary attribution set corresponding to each bit in a group; calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value; and judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal.
Example four
A fourth embodiment of the present invention further provides a computer-readable storage medium having stored thereon a computer program, which when executed by a computer processor, is configured to perform a soft demodulation method, including:
receiving the modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target group of bits; according to the dimension of a Hadamard matrix corresponding to a baseband signal and a matrix generation method, determining a binary attribution set corresponding to each bit in a group; calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value; and judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (11)
1. A soft demodulation method, comprising:
receiving a modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target group of bits;
according to the dimension of a Hadamard matrix corresponding to the baseband signal and a matrix generation method, determining a binary attribution set corresponding to each bit in a group;
calculating the likelihood value corresponding to each bit according to each binary attribution set and the demodulation soft value;
and judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal.
2. The method of claim 1, wherein receiving a modulated baseband signal and determining demodulated soft values for the baseband signal comprises:
receiving a modulated baseband signal, and performing fast Hadamard transformation on the baseband signal by adopting an N-order Hadamard matrix to obtain a symbol-based demodulation soft value;
and carrying out modulus value operation on the demodulation soft value according to the elements to obtain the modulus value of the demodulation soft value.
3. The method of claim 1, wherein determining the binary home set corresponding to each bit in the group according to the dimension of the Hadamard matrix corresponding to the baseband signal and a matrix generation method comprises:
converting each row number of the Hadamard matrix into binary number from decimal number;
determining a target position of each bit in the target bit group for each bit in the group;
and according to the dimension of the Hadamard matrix corresponding to the baseband signal and a matrix generation method, determining a binary attribution set corresponding to the bit according to the bit value on each binary number target position.
4. The method of claim 3, wherein determining the binary home set corresponding to the bit according to the dimension of the Hadamard matrix corresponding to the baseband signal and the matrix generation method and according to the bit value at each binary target position comprises:
if the number of rows of the Hadamard matrix is equal to the number of columns, acquiring a first type binary number with a bit value equal to zero at a target position, and forming a decimal number corresponding to the first type binary number into a zero attribution set corresponding to the bit;
and acquiring a second binary number with the bit value equal to one at the target position, and forming a decimal number corresponding to the second binary number into an attribution set corresponding to the bit.
5. The method of claim 3, wherein determining the binary home set corresponding to the bit according to the dimension of the Hadamard matrix corresponding to the baseband signal and the matrix generation method and according to the bit value at each binary target position comprises:
if the number of rows and the number of columns of the Hadamard matrix are not equal, acquiring a first type binary number of which the bit value at the target position is equal to zero and a second type binary number of which the bit value at the target position is equal to one;
determining a target mode for acquiring the associated decimal number according to the matrix generation method;
forming a zero attribution set corresponding to the bit positions by the decimal number corresponding to the first binary number and the first associated decimal number obtained according to the target mode;
and forming a decimal number corresponding to the binary number of the second type and a decimal number associated with the second type and acquired according to a target mode into an attribution set corresponding to the bit.
6. The method of claim 2, wherein calculating the likelihood value for each bit based on each of the binary-belonging sets and the demodulated soft values comprises:
for each bit in the group, calculating a first soft value corresponding to the bit value of the bit being equal to zero according to the zero attribution set corresponding to the bit and the modulus value of the demodulation soft value;
calculating a second soft value corresponding to the bit value of the bit being equal to one according to a home set corresponding to the bit and the modulus value of the demodulated soft value;
and taking the difference value of the second soft value and the first soft value as the likelihood value corresponding to the bit.
7. The method of claim 6, wherein computing a first soft value corresponding to the bit being equal to zero based on a home set of zeros corresponding to the bit and a modulus value of the demodulated soft value comprises:
for each decimal number in the zero belonging set, obtaining an element with a number equal to the decimal number from the modulus value of the demodulation soft value;
and summing the acquired elements to obtain a first soft value corresponding to the bit equal to zero.
8. The method of claim 1, wherein determining each bit according to its corresponding likelihood value and obtaining a demodulation value corresponding to the baseband signal comprises:
comparing the likelihood value corresponding to each bit with a judgment threshold value, and judging each bit according to the comparison result to obtain a binary number corresponding to the target bit group;
the binary number is converted into a decimal number as a demodulated value corresponding to the baseband signal.
9. A soft demodulation apparatus, comprising:
the receiving module is used for receiving a baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target group of bits;
a determining module, configured to determine a binary attribution set corresponding to each bit in a group according to a dimension of a hadamard matrix corresponding to the baseband signal and a matrix generation method;
a calculating module, configured to calculate a likelihood value corresponding to each bit according to each binary attribution set and the soft demodulation value;
and the decision module is used for deciding each bit according to the likelihood value corresponding to each bit and obtaining the demodulation value corresponding to the baseband signal.
10. A receiver, characterized in that the receiver comprises: a soft demodulation means;
the soft demodulation apparatus is used for implementing the soft demodulation method according to any one of claims 1 to 8.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the soft demodulation method according to any one of claims 1 to 8.
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