CN112187684B - Soft demodulation method, soft demodulation device, receiver and storage medium - Google Patents

Soft demodulation method, soft demodulation device, receiver and storage medium Download PDF

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CN112187684B
CN112187684B CN202011066268.7A CN202011066268A CN112187684B CN 112187684 B CN112187684 B CN 112187684B CN 202011066268 A CN202011066268 A CN 202011066268A CN 112187684 B CN112187684 B CN 112187684B
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value
demodulation
baseband signal
soft
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CN112187684A (en
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李晓明
郑波浪
李建龙
刘伟
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Beijing Shengzhe Science & Technology Co ltd
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    • H—ELECTRICITY
    • 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
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • 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 bit group; 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; calculating likelihood values corresponding to bits according to the binary attribution sets and the demodulation soft values; and judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal. According to the technical scheme, the baseband signal can be subjected to soft demodulation, and the demodulation performance is improved.

Description

Soft demodulation method, soft demodulation device, receiver and storage medium
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a soft demodulation method, a soft demodulation device, 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. And at the receiving end, the baseband receiver demodulates the modulated baseband signal to obtain a transmitted baseband signal.
In the prior art, a baseband receiver usually uses a hard demodulation method to demodulate a modulated baseband signal, that is, the used decision method is 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 soft demodulation of baseband signals and improving 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 bit group;
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;
calculating likelihood values corresponding to bits according to the binary attribution sets and the demodulation soft values;
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 demodulation soft value of the baseband signal includes:
receiving a modulated baseband signal, and carrying out fast Hadamard transformation on the baseband signal by adopting an N-order Hadamard matrix to obtain a symbol-based demodulation soft value;
and performing modular value operation on the demodulation soft value according to the elements to obtain the modular value of the demodulation soft value.
Optionally, determining the binary attribution set corresponding to each bit in the 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 from a decimal number to a binary number;
determining, for each bit in a group, a target position of the bit in a target group of bits;
and determining a binary attribution set corresponding to the bit according to the bit value on each binary target position according to the dimension of the Hadamard matrix corresponding to the baseband signal and a matrix generation method.
Optionally, according to the dimension of the hadamard matrix corresponding to the baseband signal and a matrix generating method, determining a binary attribution set corresponding to each bit according to a bit value on each binary target position, including:
if the number of the rows of the Hadamard matrix is equal to the number of columns, obtaining a first type binary number with the 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 a bit value equal to one at the target position, and combining decimal numbers corresponding to the second binary number into a attribution set corresponding to the bit.
Optionally, according to the dimension of the hadamard matrix corresponding to the baseband signal and a matrix generating method, determining a binary attribution set corresponding to each bit according to a bit value on each binary target position, including:
if the number of rows and the number of columns of the Hadamard matrix are not equal, obtaining a first type binary number with a bit value equal to zero at a target position and a second type binary number with a bit value equal to one at the target position;
determining a target mode for acquiring the association decimal number according to the matrix generation method;
the decimal numbers corresponding to the first type binary numbers and the first type associated decimal numbers acquired according to a target mode form a zero attribution set corresponding to the bit;
and forming a attribution set corresponding to the bit by the decimal numbers corresponding to the second class binary numbers and the second class associated decimal numbers acquired according to the target mode.
Optionally, calculating likelihood values corresponding to each bit according to each binary home set and the demodulation soft value, including:
for each bit in a group, calculating a first soft value corresponding to a bit value of the bit equal to zero according to a zero belonging set corresponding to the bit and a modulus value of the demodulation soft value;
calculating a second soft value corresponding to the bit value equal to one according to a attribution set corresponding to the bit and the modulus value of the demodulation soft value;
and taking the difference value between the second soft value and the first soft value as a 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 value of the demodulation soft value, including:
for each decimal number in the zero attribution set, acquiring an element with the number equal to the decimal number from the modulus value of the demodulation soft value;
and adding the obtained elements to obtain a first soft value corresponding to the bit equal to zero.
Optionally, determining each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal, including:
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 demodulation 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 the baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target bit group;
the determining module is used for 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;
the calculation module is used for calculating likelihood values corresponding to bits according to the binary attribution sets and the demodulation soft values;
and the judging module is used for judging each bit according to the likelihood value corresponding to each bit and obtaining a demodulation value corresponding to the baseband signal.
In a third aspect, an embodiment of the present invention further provides a receiver, including: a soft demodulation device; the soft demodulation device is used for realizing the soft demodulation method provided by any embodiment of the invention.
In a fourth aspect, embodiments of the present invention further provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the soft demodulation method provided by any embodiment of the present invention.
According to the technical scheme, the modulated baseband signal is received, and the demodulation soft value of the baseband signal is determined; the baseband signal carries a target bit group; 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; calculating likelihood values corresponding to the bits according to the binary attribution sets and the demodulation soft values; according to the likelihood value corresponding to each bit, each bit is judged, and a 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 flow chart 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 device in a second embodiment of the present invention;
fig. 3 is a schematic diagram of a receiver according to a third embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a soft demodulation method according to a first embodiment of the present invention, where the method may be performed by a soft demodulation device, and the device may be implemented by hardware and/or software and may be generally integrated in a receiver. As shown in fig. 1, the method includes:
step 110, receiving the modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries the target set of bits.
In this embodiment, the baseband signal refers to a modulated signal obtained after the receiver descrambles the received signal, where the modulated signal carries the target bit group. The generation process of the modulation signal is that a group of target bits transmitted on the Hadamard orthogonal spread spectrum signal are converted into corresponding decimal modulation values M through a transmitter, and the Mth data of the Hadamard matrix is mapped into the modulation signal corresponding to the modulation values M.
Optionally, receiving the modulated baseband signal and determining a demodulation soft value of the baseband signal may include: receiving a modulated baseband signal, and carrying out fast Hadamard transformation on the baseband signal by adopting an N-order Hadamard matrix to obtain a symbol-based demodulation soft value; and performing modular value operation on the demodulation soft value according to the elements to obtain the modular value of the demodulation soft value.
In this embodiment, in order to demodulate the modulated baseband signal to obtain a decimal demodulation value corresponding to the baseband signal, after receiving the modulated baseband signal, the number N of rows of the hadamard matrix for modulation may be determined, and then the N-order hadamard matrix is used to perform fast hadamard transformation on the baseband signal to obtain a symbol-based demodulation soft value
Figure BDA0002713823860000061
Wherein i represents the row number of the Hadamard matrix, D i Representing the demodulated soft values corresponding to the ith data of the hadamard matrix. Wherein the demodulation soft value is a complex number like a+bj, and a and b can be arbitrary real numbers. Then by demodulating soft values->
Figure BDA0002713823860000062
Taking the modulus value according to the elements to obtain the modulus value of the demodulation soft value +.>
Figure BDA0002713823860000063
Figure BDA0002713823860000064
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 the matrix generation method.
In this embodiment, in order to facilitate the subsequent determination of the bit value on each bit of the target bit group, it is necessary to first obtain a home set and a zero home set corresponding to each bit, where one home set may be used to determine the probability that the bit value of the corresponding bit is 1, and the zero home set may be used to determine the probability that the bit value of the corresponding bit is 0.
Optionally, 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 the matrix generation method may include: converting each row number of the Hadamard matrix from a decimal number to a binary number; determining, for each bit in a group, a target position of the bit in a target group of bits; and determining a binary attribution set corresponding to the bit according to the bit value on each binary target position according to the dimension of the Hadamard matrix corresponding to the baseband signal and a matrix generation method.
In this embodiment, the line numbers of the decimal numbers of the hadamard matrix for modulation may be converted into binary numbers, for example, the binary number corresponding to the decimal value i is b K b K-1 …b k …b 2 b 1 The k-th bit of the binary number corresponding to the decimal value i can be written as a binary (i, k), and the binary (i, k) can only take on the value of 0 or 1. For each bit in the target bit group, determining the target position of that bit in the target bit group, e.g. with b in a binary number k The corresponding bit, the target position in the binary number is k. Then according to the dimension of Hadamard matrix for modulation and the matrix generation method adopted, determining the selection rule of binary attribution set, and according to each binary numberThe bit value at the target location determines a home set and a zero home set corresponding to the bit.
Optionally, according to the dimension of the hadamard matrix corresponding to the baseband signal and the matrix generating method, determining the binary attribution set corresponding to the bits according to the bit value on each binary target position may include: if the number of the rows of the Hadamard matrix is equal to the number of columns, obtaining a first type binary number with the 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 a bit value equal to one at the target position, and combining decimal numbers corresponding to the second binary number into a 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 represented by a square matrix of N rows and N columns, and at this time, local extraction of the hadamard matrix is not required, so only one hadamard matrix generation method is provided, and correspondingly, only one binary home set selection rule is provided. At this time, for bit k at target position k in the group, zero belonging set of bit k can be obtained as I k,0 = { i|bin (I, k) = 0}, which is a set of decimal numbers I corresponding to the first type of binary number with the kth bit being 0, a home set of bit k is I k,1 = { i|bins (i, k) =1 }, which is a set of decimal numbers i corresponding to the second type of binary number with the kth bit being 1, where i=1, …, L.
Optionally, according to the dimension of the hadamard matrix corresponding to the baseband signal and the matrix generating method, determining the binary attribution set corresponding to the bits according to the bit value on each binary target position may include: if the number of rows and the number of columns of the Hadamard matrix are not equal, obtaining a first type binary number with a bit value equal to zero at a target position and a second type binary number with a bit value equal to one at the target position; determining a target mode for acquiring the association decimal number according to the matrix generation method; the decimal numbers corresponding to the first type binary numbers and the first type associated decimal numbers acquired according to a target mode form a zero attribution set corresponding to the bit; and forming a attribution set corresponding to the bit by the decimal numbers corresponding to the second class binary numbers and the second class associated decimal numbers acquired according to the target mode.
In this embodiment, when the number of rows and columns of the Hadamard matrix are not equal, L<N or L>In N, since the Hadamard matrix is generated by multiple methods, the binary attribution set has multiple selection rules, and a attribution set I of the bit k k,1 And zero home set I k,0 There are also various kinds. At this time, in order to acquire the zero-homing set I of bit k k,0 The decimal number I corresponding to the first binary number with the k bit being 0 can be acquired first, then, according to the Hadamard matrix generation method, the target mode is selected to acquire other decimal numbers associated with the selected decimal number, and the selected decimal number and the associated other decimal numbers form the zero attribution set I of the bit k k,0 . A home set I of bits k k,1 With zero home set I k,0 The acquisition mode is the same.
Exemplary, when L<When N is reached, if the Hadamard matrix generation method is to extract only one first quarter of the N-order Hadamard matrix, then the line number of the Hadamard matrix is the same
Figure BDA0002713823860000091
The zero-attributed set of bit k is
Figure BDA0002713823860000092
Namely, decimal number i and ++corresponding to the binary number of 0 of the kth bit>
Figure BDA0002713823860000093
Is a collection of (3); a home set of bits k is
Figure BDA0002713823860000094
Is phase with the binary number of which the k bit is 1Corresponding decimal number i ++>
Figure BDA0002713823860000095
Is a set of (3).
In this embodiment, for the case of L < N, the method for generating the hadamard matrix may also be a continuous extraction method of extracting the last quarter of the N-order hadamard matrix, or extracting the middle third of the N-order hadamard matrix, or extracting one row from the N-order hadamard matrix at a row interval. The manner of obtaining the associated decimal numbers is also different for different matrix extraction manners, and will not be described here.
And 130, calculating likelihood values corresponding to the bits according to the binary attribution sets and the demodulation soft values.
The demodulation soft value is actually a modulus value of the demodulation soft value, and the likelihood value corresponding to each bit is a decision quantity which can be used for deciding the value of the bit.
Optionally, calculating likelihood values corresponding to each bit according to each binary home set and the demodulation soft value may include: for each bit in a group, calculating a first soft value corresponding to a bit value of the bit equal to zero according to a zero belonging set corresponding to the bit and a modulus value of the demodulation soft value; calculating a second soft value corresponding to the bit value equal to one according to a attribution set corresponding to the bit and the modulus value of the demodulation soft value; and taking the difference value between the second soft value and the first soft value as a likelihood value corresponding to the bit.
In this embodiment, for the bit k, since the kth bit of the binary numbers corresponding to the decimal numbers included in the zero-attributed 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, can be calculated from the zero-attributed set of the bit k and the modulus value of the demodulated soft value. Accordingly, since the kth bit of the binary numbers corresponding to each decimal number included in a home 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 home set of the bit k and the modulus value of the demodulation soft value. Further, the difference between the second soft value and the first soft value may be used as the likelihood value of bit k.
Optionally, calculating the first soft value corresponding to the bit being equal to zero according to the zero belonging set corresponding to the bit and the modulus value of the demodulation soft value may include: for each decimal number in the zero attribution set, acquiring an element with the number equal to the decimal number from the modulus value of the demodulation soft value; and adding the obtained 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 its corresponding zero-attribute set, the modulus D of the demodulation soft value corresponding to that decimal number i is obtained abs,i And according to the formula
Figure BDA0002713823860000101
Figure BDA0002713823860000102
Summing the modulus values of the demodulation soft values corresponding to the decimal numbers in the zero belonging set to calculate the bit value b of the bit k k Probability of =0, i.e. the first soft value. Accordingly, according to the formula->
Figure BDA0002713823860000103
Summing the modulus values of the demodulation soft values corresponding to the decimal numbers in a home set to calculate the bit value b of the bit k k Probability of=1, i.e. the second soft value. Thus, likelihood values +.>
Figure BDA0002713823860000104
And 140, judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal.
The demodulation value corresponding to the baseband signal is a decimal number corresponding to a target bit group carried by the baseband signal, and the demodulation value can be used for subsequent operations such as decoding the baseband signal by a receiver.
Optionally, 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 demodulation value corresponding to the baseband signal.
In this embodiment, a decision threshold may be preset, for example, the decision threshold is 0. For any bit k, likelihood values LR corresponding to the bit k are obtained k The likelihood values LR can then be used k Comparing with decision threshold, if LR k 0 or more, bit value b of bit k k =1; if LR (low-k) k <0, bit value b of bit k k =0. Finally, the binary bit group b carried by the baseband signal can be obtained K b K-1 …b k …b 2 b 1 Decimal number corresponding to the binary number
Figure BDA0002713823860000111
I.e. the demodulated value.
Where K is the spreading factor of the orthogonal spread spectrum signal, the number of bits of the binary number obtained by the final decision in this embodiment may not be equal to K, and in fact, 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. B=k when the number of rows L of the hadamard matrix is equal to the number of columns N, b < K when the number of rows L of the hadamard matrix is smaller than the number of columns N, and b > K when the number of rows L of the hadamard matrix is larger than the number of columns N.
According to the technical scheme, the modulated baseband signal is received, and the demodulation soft value of the baseband signal is determined; the baseband signal carries a target bit group; 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; calculating likelihood values corresponding to the bits according to the binary attribution sets and the demodulation soft values; according to the likelihood value corresponding to each bit, each bit is judged, and a 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 device according to a second embodiment of the present invention, where the present embodiment is applicable to a case of demodulating a modulated baseband signal, and the device may be implemented by hardware and/or software, and may be generally integrated in a receiver that provides a demodulation service. 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 bit group;
a determining module 220, configured to determine 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 generating method;
a calculating module 230, configured to calculate likelihood values corresponding to each bit according to each binary home set and the demodulation soft values;
and 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, the modulated baseband signal is received, and the demodulation soft value of the baseband signal is determined; the baseband signal carries a target bit group; 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; calculating likelihood values corresponding to the bits according to the binary attribution sets and the demodulation soft values; according to the likelihood value corresponding to each bit, each bit is judged, and a 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 carrying out fast Hadamard transformation on the baseband signal by adopting an N-order Hadamard matrix to obtain a symbol-based demodulation soft value;
and performing modular value operation on the demodulation soft value according to the elements to obtain the modular value of the demodulation soft value.
Optionally, the determining module 220 includes:
a conversion unit, configured to convert each row number of the hadamard matrix from a decimal number to a binary number;
a position determining unit, configured to determine, for each bit in a group, a target position of the bit in a target bit group;
and the set determining unit is used for determining a binary attribution set corresponding to the bit according to the dimension of the Hadamard matrix corresponding to the baseband signal and a matrix generation method and the bit value on each binary target position.
Optionally, the set determining unit is configured to:
if the number of the rows of the Hadamard matrix is equal to the number of columns, obtaining a first type binary number with the 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 a bit value equal to one at the target position, and combining decimal numbers corresponding to the second binary number into a 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, obtaining a first type binary number with a bit value equal to zero at a target position and a second type binary number with a bit value equal to one at the target position;
determining a target mode for acquiring the association decimal number according to the matrix generation method;
the decimal numbers corresponding to the first type binary numbers and the first type associated decimal numbers acquired according to a target mode form a zero attribution set corresponding to the bit;
and forming a attribution set corresponding to the bit by the decimal numbers corresponding to the second class binary numbers and the second class associated decimal numbers acquired according to the target mode.
Optionally, the computing module 230 includes:
a first calculation 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 value of the demodulated soft value;
a second calculating unit, configured to calculate a second soft value corresponding to a bit value of the bit according to a home set corresponding to the bit and a modulus value of the demodulation soft value;
and the difference value calculation unit is used for taking the difference value between the second soft value and the first soft value as a likelihood value corresponding to the bit.
Optionally, the first computing unit is configured to:
for each decimal number in the zero attribution set, acquiring an element with the number equal to the decimal number from the modulus value of the demodulation soft value;
and adding the obtained 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 demodulation 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 the 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 shows 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 merely an example and should not be construed as limiting the functionality and scope of use of 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 receiver 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Receiver 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by 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 or write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, commonly referred to as a "hard disk drive"). Although not shown in fig. 3, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules 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 in, for example, 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 or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The receiver 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the receiver 12, and/or 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 occur through an input/output (I/O) interface 22. Also, the receiver 12 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 20. As shown, the network adapter 20 communicates with other modules of the receiver 12 via the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with receiver 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing the soft demodulation method provided by the embodiment of the present invention.
Namely: a soft demodulation method is realized, which comprises the following steps: receiving the modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target bit group; 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; calculating likelihood values corresponding to the bits according to the binary attribution sets and the demodulation soft values; and judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal.
Example IV
A fourth embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program for performing a soft demodulation method when executed by a computer processor, comprising:
receiving the modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target bit group; 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; calculating likelihood values corresponding to the bits according to the binary attribution sets and the demodulation soft values; and judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal.
The computer storage media of embodiments of the invention may take the form of 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. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 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.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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 of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. 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, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (9)

1. A method of soft demodulation comprising:
receiving a modulated baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target bit group;
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;
calculating likelihood values corresponding to bits according to the binary attribution sets and the demodulation soft values;
judging each bit according to the likelihood value corresponding to each bit, and obtaining a demodulation value corresponding to the baseband signal;
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 each bit in the group comprises the following steps:
converting each row number of the Hadamard matrix from a decimal number to a binary number;
determining, for each bit in a group, a target position of the bit in a target group of bits;
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 each bit according to the bit value on each binary target position;
according to each binary attribution set and the demodulation soft value, calculating likelihood values corresponding to each bit, including:
for each bit in a group, calculating a first soft value corresponding to a bit value of the bit equal to zero according to a zero belonging set corresponding to the bit and a modulus value of the demodulation soft value;
calculating a second soft value corresponding to the bit value equal to one according to a attribution set corresponding to the bit and the modulus value of the demodulation soft value;
and taking the difference value between the second soft value and the first soft value as a likelihood value corresponding to the bit.
2. The method of claim 1, wherein receiving the modulated baseband signal and determining the demodulated soft values of the baseband signal comprises:
receiving a modulated baseband signal, and carrying out fast Hadamard transformation on the baseband signal by adopting an N-order Hadamard matrix to obtain a symbol-based demodulation soft value;
and performing modular value operation on the demodulation soft value according to the elements to obtain the modular value of the demodulation soft value.
3. The method of claim 1, wherein determining a binary home set corresponding to each binary target position from the bit value at the bit position according to the dimension of the hadamard matrix corresponding to the baseband signal and a matrix generation method, comprises:
if the number of the rows of the Hadamard matrix is equal to the number of columns, obtaining a first type binary number with the 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 a bit value equal to one at the target position, and combining decimal numbers corresponding to the second binary number into a attribution set corresponding to the bit.
4. The method of claim 1, wherein determining a binary home set corresponding to each binary target position from the bit value at the bit position according to the dimension of the hadamard matrix corresponding to the baseband signal and a matrix generation method, comprises:
if the number of rows and the number of columns of the Hadamard matrix are not equal, obtaining a first type binary number with a bit value equal to zero at a target position and a second type binary number with a bit value equal to one at the target position;
determining a target mode for acquiring the association decimal number according to the matrix generation method;
the decimal numbers corresponding to the first type binary numbers and the first type associated decimal numbers acquired according to a target mode form a zero attribution set corresponding to the bit;
and forming a attribution set corresponding to the bit by the decimal numbers corresponding to the second class binary numbers and the second class associated decimal numbers acquired according to the target mode.
5. The method of claim 1, wherein calculating a first soft value corresponding to the bit being equal to zero based on the zero-attributed set corresponding to the bit and the modulus value of the demodulated soft value comprises:
for each decimal number in the zero attribution set, acquiring an element with the number equal to the decimal number from the modulus value of the demodulation soft value;
and adding the obtained elements to obtain a first soft value corresponding to the bit equal to zero.
6. The method of claim 1, wherein determining each bit based on a likelihood value corresponding to the bit 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 demodulation value corresponding to the baseband signal.
7. A soft demodulation apparatus, comprising:
the receiving module is used for receiving the baseband signal and determining a demodulation soft value of the baseband signal; the baseband signal carries a target bit group;
the determining module is used for 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;
the calculation module is used for calculating likelihood values corresponding to bits according to the binary attribution sets and the demodulation soft values;
the judging module is used for judging each bit according to the likelihood value corresponding to each bit and obtaining a demodulation value corresponding to the baseband signal;
wherein, confirm the module, is used for:
converting each row number of the Hadamard matrix from a decimal number to a binary number;
determining, for each bit in a group, a target position of the bit in a target group of bits;
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 each bit according to the bit value on each binary target position;
wherein, the calculation module is used for:
for each bit in a group, calculating a first soft value corresponding to a bit value of the bit equal to zero according to a zero belonging set corresponding to the bit and a modulus value of the demodulation soft value;
calculating a second soft value corresponding to the bit value equal to one according to a attribution set corresponding to the bit and the modulus value of the demodulation soft value;
and taking the difference value between the second soft value and the first soft value as a likelihood value corresponding to the bit.
8. A receiver, the receiver comprising: a soft demodulation device;
the soft demodulation means is for implementing a soft demodulation method according to any one of claims 1-6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the soft demodulation method according to any one of claims 1-6.
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