CN103856218B - Decoding process method and decoder - Google Patents

Decoding process method and decoder Download PDF

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CN103856218B
CN103856218B CN201210516029.6A CN201210516029A CN103856218B CN 103856218 B CN103856218 B CN 103856218B CN 201210516029 A CN201210516029 A CN 201210516029A CN 103856218 B CN103856218 B CN 103856218B
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row
likelihood ratio
log
posterior probability
ratio sequences
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CN103856218A (en
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魏岳军
熊杰
金莹
吴可镝
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Abstract

The embodiment of the present invention provides a kind of decoding process method and decoder, and this method includes:Receive the log-likelihood ratio sequences that decoding demodulator is sent;Pre-decode is carried out to the log-likelihood ratio sequences, at least two row posterior probability log-likelihood ratio sequences are obtained;At least two row posterior probability log-likelihood ratio sequences are entered with row decoding, decoding result, decoding process method and decoder provided in an embodiment of the present invention, it is possible to increase the performance gain of decoding is obtained.

Description

Decoding process method and decoder
Technical field
The present invention relates to decoding technique, more particularly to a kind of decoding process method and decoder.
Background technology
In Modern Communication System, in order to ensure the reliable and effective transmission in the channel of various data, generally require to utilize Error correction coding.Development and various high-speeds, the appearance of sudden strong business especially as radio digital communication, to entangling Error code technology proposes higher and higher requirement.What Turbo code was realized be exactly in communication system channel coding to channel decoding this The content in one stage, its bit error rate plays a decisive role to whole system
The conventional Turbo code decoder of prior art is by two identical soft-output coding component decoders, interleavers With corresponding deinterleaver composition.The input of the Soft output information of one-component decoder as next component decoder is believed Breath, in order to obtain more preferable decoding performance, by this process iteration for several times, obtains the final Soft output information of component decoder, will The Soft output information carries out hard decision and deinterleaving, obtains decoding result.
However, when Turbo decoding process methods of the prior art are used for long evolving system, its decoding performance gain is simultaneously It is not high.
The content of the invention
The embodiment of the present invention provides a kind of decoding process method and decoder, the gain performance to improve decoding.
In a first aspect, the embodiment of the present invention provides a kind of decoding process method, including:
Receive the log-likelihood ratio sequences that decoding demodulator is sent;
Pre-decode is carried out to the log-likelihood ratio sequences, at least two row posterior probability log-likelihood ratio sequences are obtained;
At least two row posterior probability log-likelihood ratio sequences are entered with row decoding, decoding result is obtained.
The first possible implementation, according in a first aspect, being implemented as:It is described to the log-likelihood ratio sequences Pre-decode is carried out, at least two row posterior probability log-likelihood ratio sequences are obtained, including:
Pre-decode is carried out to the log-likelihood ratio sequences using SOVA decoder algorithm, obtained after at least two row Test probability log-likelihood ratio sequences.
In second of possible implementation, according in a first aspect, being implemented as:It is described to the log-likelihood ratio Sequence carries out pre-decode, obtains at least two row posterior probability log-likelihood ratio sequences, including:
Pre-decode is carried out to the log-likelihood ratio sequences using maximum posteriori decoding algorithm, obtained after at least two row Test probability log-likelihood ratio sequences.
In the third possible implementation, according in a first aspect, being implemented as:It is described to the log-likelihood ratio Sequence carries out pre-decode, obtains at least two row posterior probability log-likelihood ratio sequences, including:
The log-likelihood ratio sequences are divided at least two windows, corresponding each window and obtain a row log-likelihood Compare sequence;
SOVA decoder algorithm is carried out to the sub- log-likelihood ratio sequences in each window or maximum a posteriori is general Rate decoding algorithm, then obtain at least two sub- posterior probability log-likelihood ratio sequences of row in each window;
Obtain any sub- posterior probability log-likelihood ratio sequences in each window and recombinated, then obtained in each window To at least two row posterior probability log-likelihood ratio sequences.
In the 4th kind of possible implementation, according to the third possible implementation of first aspect, implement For:Any sub- posterior probability log-likelihood ratio sequences obtained in each window are simultaneously recombinated, then are obtained in each window To before at least two row posterior probability log-likelihood ratio sequences, in addition to:
At least two row, which are obtained, according to the described at least two sub- posterior probability log-likelihood ratio sequences of row sentences sequence firmly;
It is determined that the hard wantonly hard different bit numbers sentenced between sequence of two row sentenced in sequence of at least two row, if the difference Bit number is less than predetermined bit number, then retains wantonly two row and sentence the sub- posterior probability logarithm of corresponding wantonly two row of sequence firmly seemingly So than the either rank in sequence, then at least one sub- posterior probability log-likelihood ratio sequences of row are obtained in each window.
In the 5th kind of possible implementation, according to the third possible implementation of first aspect, implement For:Any sub- posterior probability log-likelihood ratio sequences obtained in each window are simultaneously recombinated, then are obtained in each window To before at least two row posterior probability log-likelihood ratio sequences, in addition to:
It is determined that wantonly two in the sub- posterior probability log-likelihood ratio sequences of at least two row arrange sub- log-likelihood ratio sequences Euclidean distance, if the Euclidean distance is less than default Euclidean distance, retains the sub- posterior probability log-likelihood ratio of wantonly two row At least one sub- posterior probability log-likelihood ratio sequences of row are obtained in either rank in sequence, each window.
In the 6th kind of possible implementation, according to first aspect and first aspect the first to the 5th kind it is possible Implementation, is implemented as:It is described that row decoding is entered at least two row posterior probability log-likelihood ratio sequences, decoded As a result, including:
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using Turbo decodings, decoding knot is obtained Really;Or
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using low density parity check coding, obtained Result must be decoded.
In the 7th kind of possible implementation, according to the 6th of first aspect the kind of possible implementation, implement For:Row decoding is entered in the use Turbo decodings at least two row posterior probability log-likelihood ratio sequences, obtains decoding knot Really, including:
First is carried out at least two row posterior probability log-likelihood ratio sequences to decode, obtain extremely using Turbo decodings Few two row first decoding result;
CRC check is carried out at least two row first decoding result, if verification passes through, the correct decoding result of output, If inspection does not pass through, the output decoding result of first row first.
Second aspect, the embodiment of the present invention provides a kind of decoder, including:
Receiving module:For receiving the log-likelihood ratio sequences that decoding demodulator is sent;
Soft output listing generation module:For carrying out pre-decode to the log-likelihood ratio sequences, obtain after at least two row Test probability log-likelihood ratio sequences;
Decoding module:For at least two row posterior probability log-likelihood ratio sequences to be entered with row decoding, decoding knot is obtained Really.
The first possible implementation, according to second aspect, is implemented as:The soft output listing generation module tool Body is used for:
Pre-decode is carried out to the log-likelihood ratio sequences using SOVA decoder algorithm, obtained after at least two row Test probability log-likelihood ratio sequences.
In second of possible implementation, according to second aspect, it is implemented as:The soft output listing generation mould Block specifically for:
Pre-decode is carried out to the log-likelihood ratio sequences using maximum posteriori decoding algorithm, obtained after at least two row Test probability log-likelihood ratio sequences.
In the third possible implementation, according to second aspect, it is implemented as:The soft output listing generation mould Block specifically for:
The log-likelihood ratio sequences are divided at least two windows, corresponding each window and obtain a row log-likelihood Compare sequence;
SOVA decoder algorithm is carried out to the sub- log-likelihood ratio sequences in each window or maximum a posteriori is general Rate decoding algorithm, then obtain at least two sub- posterior probability log-likelihood ratio sequences of row in each window;
Obtain any sub- posterior probability log-likelihood ratio sequences in each window and recombinated, then obtained in each window To at least two row posterior probability log-likelihood ratio sequences.
In the 4th kind of possible implementation, according to the third possible implementation of second aspect, implement For:Any sub- posterior probability log-likelihood ratio sequences obtained in each window are simultaneously recombinated, then are obtained in each window To before at least two row posterior probability log-likelihood ratio sequences, the soft output listing generation module also particularly useful for:
At least two row, which are obtained, according to the described at least two sub- posterior probability log-likelihood ratio sequences of row sentences sequence firmly;
It is determined that the hard wantonly hard different bit numbers sentenced between sequence of two row sentenced in sequence of at least two row, if the difference Bit number is less than predetermined bit number, then retains wantonly two row and sentence the sub- posterior probability logarithm of corresponding wantonly two row of sequence firmly seemingly So than the either rank in sequence, then at least one sub- posterior probability log-likelihood ratio sequences of row are obtained in each window.
In the 5th kind of possible implementation, according to the third possible implementation of second aspect, implement For:Any sub- posterior probability log-likelihood ratio sequences obtained in each window are simultaneously recombinated, then are obtained in each window To before at least two row posterior probability log-likelihood ratio sequences, the soft output listing generation module also particularly useful for:
It is determined that wantonly two in the sub- posterior probability log-likelihood ratio sequences of at least two row arrange sub- log-likelihood ratio sequences Euclidean distance, if the Euclidean distance is less than default Euclidean distance, retains the sub- posterior probability log-likelihood ratio of wantonly two row At least one sub- posterior probability log-likelihood ratio sequences of row are obtained in either rank in sequence, each window.
In the 6th kind of possible implementation, according to second aspect and second aspect the first to the 5th kind it is possible Implementation, is implemented as:The decoding module specifically for:
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using Turbo decodings, decoding knot is obtained Really;Or
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using low density parity check coding, obtained Result must be decoded.
In the 7th kind of possible implementation, according to the 6th of second aspect the kind of possible implementation, implement For:The decoding module specifically for:
First is carried out at least two row posterior probability log-likelihood ratio sequences to decode, obtain extremely using Turbo decodings Few two row first decoding result;
CRC check is carried out at least two row first decoding result, if verification passes through, the correct decoding result of output, If inspection does not pass through, the output decoding result of first row first.
Decoding process method and decoder provided in an embodiment of the present invention, this method to log-likelihood ratio sequences by carrying out Pre-decode, obtains at least two row posterior probability log-likelihood ratio sequences, it would be desirable to which the log-likelihood ratio sequences for entering row decoding are changed into The revised posterior probability log-likelihood ratio sequences of multiple row;The revised posterior probability log-likelihood ratio sequences of multiple row are translated Code, can increase the correct probability of decoding, improve the performance gain of decoding.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of decoding process method of embodiment of the present invention embodiment one;
Fig. 2 is the schematic flow sheet of decoding process method of embodiment of the present invention embodiment two;
Fig. 3 divides window schematic diagram for decoding process method of embodiment of the present invention embodiment three;
Fig. 4 is the schematic flow sheet shown in decoding process method example IV of the embodiment of the present invention;
Fig. 5 is the schematic flow sheet shown in decoding process method of embodiment of the present invention embodiment five;
Fig. 6 is to delete schematic diagram shown in decoding process method of embodiment of the present invention embodiment six;
Fig. 7 is the schematic flow sheet shown in decoding process method of embodiment of the present invention embodiment seven;
Fig. 8 is the structural representation of decoder implementation of embodiment of the present invention example one.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
In a communications system, due to the influence of the factors such as channel and noise, data in transmitting procedure inevitably Make a mistake.In order to reduce the bit error rate in the case of identical signal to noise ratio, transmitting terminal need to use suitable channel coding, receiving terminal Then need to carry out corresponding decoding to recover normal data.Decoding process method in the embodiment of the present invention, may apply to communication The decoding of receiving terminal in system.
Fig. 1 is the schematic flow sheet of decoding process method of embodiment of the present invention embodiment one, as shown in figure 1, the present invention is real The executive agent for applying example is decoder, and decoding process method provided in an embodiment of the present invention comprises the following steps:
S101:Receive the log-likelihood ratio sequences that decoding demodulator is sent.
During the coding and decoding to information source, information source after source encoder, channel encoder and coding demodulator, It is converted into being suitable for the signal of transmission.And data signal runs into various interference in transmitting procedure, always and loses signal Very, this distorted signal is transferred to the receiver of receiving terminal, it is necessary to by the demodulation of decoding demodulator, become binary system or enter more Information sequence processed.In embodiments of the present invention, decoding demodulator by the signal of distortion be demodulated into log-likelihood ratio sequences enter Information sequence processed, wherein, log-likelihood ratio sequences are Soft Inform ation, are a likelihood probability values, rather than the binary system after judgement Sequence 0 and 1.In the present embodiment, before decoding, decoder first receives the log-likelihood ratio sequences that decoding demodulator is sent.
S102:Pre-decode is carried out to log-likelihood ratio sequences, at least two row posterior probability log-likelihood ratio sequences are obtained.
Log-likelihood ratio sequences are subjected to pre-decode, multiple row posterior probability log-likelihood ratio sequences are obtained.The multiple row posteriority Probability log-likelihood ratio sequences are the amendments of the log-likelihood ratio sequences received to decoder.
During implementing, also a kind of decoding process method of equal value with the step is specially:To log-likelihood Pre-decode is carried out than sequence, multiple external information sequences of the log-likelihood ratio sequences are obtained, by each external information sequence and this pair Number likelihood ratio sequence constitutes a row posterior probability log-likelihood ratio sequences, finally available at least two row posterior probability log-likelihoods Compare sequence.
S103:At least two row posterior probability log-likelihood ratio sequences are entered with row decoding, decoding result is obtained.
After multiple row posteriority log-likelihood ratio sequences are obtained, row decoding is entered to multiple row posteriority log-likelihood ratio sequences, obtained Result must be decoded.
The embodiment of the present invention enters row decoding to multiple row posteriority log-likelihood ratio sequences, obtains decoding result, specifically can be with Decoded using Turbo, it would however also be possible to employ low density parity check code(Low Density ParityCheck Code, referred to as LDPC)., can be in iterative decoding process for Turbo decodings, the hard decision result that front and rear iteration twice is exported is compared Compared with thinking that decoding is correct if completely the same, output decoding result.For LDPC decodings, using soft-output coding LDPC is decoded, specifically can using belief propagation algorithm or and product decoding algorithm etc., directly output decodes result.The present invention is implemented Example can also use other iterative decodings based on soft-output coding, such as Reed-Muller(Reed-Muller)Code etc., this Inventive embodiments are not particularly limited herein.
Decoding process method provided in an embodiment of the present invention, by log-likelihood ratio sequences carry out pre-decode, obtain to Few two row posterior probability log-likelihood ratio sequences, it would be desirable to enter row decoding log-likelihood ratio sequences be changed into multiple row it is revised after Test probability log-likelihood ratio sequences;Row decoding is entered to the revised posterior probability log-likelihood ratio sequences of multiple row, can increase and translate The correct probability of code, improves the performance gain of decoding.
On the basis of embodiment illustrated in fig. 1, in above-mentioned step S102, log-likelihood ratio sequences are translated in advance Code, obtains at least two row posterior probability log-likelihood ratio sequences, can specifically include following possible implementation:
A kind of possible implementation:Log-likelihood ratio sequences are translated in advance using SOVA decoder algorithm Code, obtains at least two row posterior probability log-likelihood ratio sequences.
In this kind of implementation, SOVA decoder algorithm, which is specifically as follows, enumerates Viterbi decoding algorithm (List Viterbi Algorithm, referred to as:LVA), log-likelihood ratio sequences are carried out by enumerating Viterbi decoding algorithm Decoding, can export the optimal posterior probability log-likelihood ratio sequences of the path of a plurality of candidate of global optimum, i.e. multiple row.
The embodiment of the present invention can complete soft value generation, output at least two by using SOVA decoder algorithm Row posterior probability log-likelihood ratio sequences.
Alternatively possible implementation:The log-likelihood ratio sequences are carried out using maximum posteriori decoding algorithm Pre-decode, obtains at least two row posterior probability log-likelihood ratio sequences.
The present embodiment can specifically use maximum a posteriori probability(Maximum A Posteriori, abbreviation MAP)Decoding is calculated Method and its improved form, in the hope of obtaining optimal performance.Conventional MAP algorithms include simplifying MAP algorithms, Log-MAP algorithms, Max- Log-MAP algorithms etc..By taking MAP algorithms as an example, this method produces N row hard decision results first, then to every column decoding result base The log-likelihood ratio sequences of each column hard decision result are exported in MAP algorithms, so as to obtain at least two row posterior probability log-likelihoods Compare sequence.
The embodiment of the present invention can complete soft value generation, output at least two by using maximum posteriori decoding algorithm Row posterior probability log-likelihood ratio sequences.
Another possible implementation, as shown in Fig. 2 specifically including following steps:
S201:Log-likelihood ratio sequences are divided at least two windows, corresponding each window and obtain a row logarithm seemingly So compare sequence.
Log-likelihood ratio sequences are divided at least two windows, can be two during implementing, or it is multiple. Log-likelihood ratio sequences are divided into after multiple windows, a row log-likelihood ratio sequences can be obtained in corresponding each window.I.e. Log-likelihood ratio sequences are divided into multiple row, each window obtains a row.
S202:SOVA decoder algorithm is carried out to the sub- log-likelihood ratio sequences in each window or maximum a posteriori is general Rate decoding algorithm, then obtain at least two sub- posterior probability log-likelihood ratio sequences of row in each window.
The columns of the sub- posterior probability log-likelihood ratio sequences obtained in specific each window, can be carried out according to actual needs It is determined that, the embodiment of the present invention is not particularly limited herein.Specific SOVA decoder algorithm or maximum a posteriori probability are translated Code algorithm, can refer to above method embodiment, and the present invention is not particularly limited herein.
S203:Obtain any sub- posterior probability log-likelihood ratio sequences in each window and recombinated, then in each window Obtain at least two row posterior probability log-likelihood ratio sequences.
Obtained in each window after at least two sub- posterior probability log-likelihood ratio sequences of row, optional row is right in each window Number likelihood ratio sequence, each optional log-likelihood ratio sequences are recombinated, at least two row posterior probability log-likelihood ratios are obtained Sequence.
Step S201 to step S203 is described in detail with a specific embodiment.It is of the invention for convenience of describing Embodiment obtains two row posterior probability log-likelihood ratio sequences to have in step S201 in two windows, step S202 in each window Exemplified by, specifically as shown in figure 3, the implementation is described, but the embodiment of the present invention is not limited thereto.
Log-likelihood ratio sequences are divided into two windows, then a row log-likelihood ratio sequences are obtained in each window, to every The sub- log-likelihood ratio sequences of row in individual window carry out SOVA decoder algorithm or maximum posteriori decoding algorithm, often Two row posterior probability log-likelihood ratio sequences are obtained in individual window.By the two sub- posterior probability log-likelihood ratio sequences of row in each window Any sub- log-likelihood ratio sequences in either rank in row, with other windows are recombinated, then can export altogether 4 it is complete Posterior probability log-likelihood ratio sequences, i.e. 1-1-2-1,1-1-2-2,1-2-2-1,1-2-2-2.
The embodiment of the present invention is by way of dividing window, relative to simple use SOVA decoder algorithm or most Big posteriori decoding algorithm, can obtain multiple row posterior probability log-likelihood ratio sequences, add the probability of correct decoding.Hair A person of good sense has found that the Turbo code in Long Term Evolution (Long TermEvolution, abbreviation LTE) communication system enters by research Row emulation.Turbo code block length=168, window length 42(It is divided into 4 windows), 4 way posterior probability log-likelihood ratio sequences are exported per window, Its decoding performance is relative to common turbo decoding liftings 0.3dB or so.
Fig. 4 is the schematic flow sheet shown in decoding process method example IV of the embodiment of the present invention, as shown in figure 4, this hair Bright embodiment carries out pre-decode to log-likelihood ratio sequences, obtains at least two row posteriority general on the basis of embodiment illustrated in fig. 2 Rate log-likelihood ratio sequences specifically may comprise steps of:
S401:Log-likelihood ratio sequences are divided at least two windows, corresponding each window and obtain a row logarithm seemingly So compare sequence;
S402:SOVA decoder algorithm is carried out to the sub- log-likelihood ratio sequences in each window or maximum a posteriori is general Rate decoding algorithm, then obtain at least two sub- posterior probability log-likelihood ratio sequences of row in each window;
S403:At least two row, which are obtained, according at least two sub- posterior probability log-likelihood ratio sequences of row sentences sequence firmly;
S404:It is determined that the hard wantonly hard different bit numbers sentenced between sequence of two row sentenced in sequence of at least two row, if not year-on-year Special number is less than predetermined bit number, then retains wantonly two row and sentence the sub- posterior probability log-likelihood ratio sequence of corresponding wantonly two row of sequence firmly Either rank in row, then obtain at least one sub- posterior probability log-likelihood ratio sequences of row in each window;
S405:Obtain any sub- posterior probability at least two sub- posterior probability log-likelihood ratio sequences of row in each window Log-likelihood ratio sequences are simultaneously recombinated, and obtain at least two row posterior probability log-likelihood ratio sequences.
Above-mentioned steps S401, S402 are similar with the step S201 to S203 in Fig. 2 embodiments with S405, and the present embodiment is herein Repeat no more.
In step S402, at least two sub- posterior probability log-likelihood ratio sequences of row in each window, it is understood that there may be phase As sequence, and during decoding, log-likelihood ratio sequences are more similar, then diversity gain is smaller, therefore, can be by each window At least two sub- posterior probability log-likelihood ratio sequences of row in similar log-likelihood ratio sequences deleted, it is similar it is sub after Test in probability log-likelihood ratio sequences, only retain the sub- posterior probability log-likelihood ratio sequences of row.
At least two sub- posterior probability log-likelihood ratio sequences of row in each window have been described in detail in step S403 and step S404 Delete process.
During implementing, it first can obtain at least two according at least two sub- posterior probability log-likelihood ratio sequences of row and arrange Sentence sequence firmly.It is not the binary system after judgement because log-likelihood ratio sequences export for soft amount during implementing, but One likelihood probability value, therefore can carry out hard decision to each sub- posterior probability log-likelihood ratio, obtains corresponding sentencing sequence firmly Row.The detailed process of hard decision is, if log-likelihood ratio is more than or equal to 0, and the corresponding hard information bit sentenced in sequence is 1, if log-likelihood ratio is less than 0, the corresponding hard information bit sentenced in sequence is 0., can according to above-mentioned hard decision process Obtain at least two row and sentence sequence firmly.
It is determined that the hard wantonly hard different bit numbers sentenced in sequence of two row sentenced in sequence of at least two row, for example, when two Row sentence sequence firmly(011001)With(111110)When, i.e., second is identical with the 3rd bit, is 1, and other bits Difference, therefore the hard different bit numbers for sentencing sequence of two row are 4.If the different bit numbers are less than predetermined bit number, i.e., Illustrate two row it is hard to sentence the corresponding log-likelihood ratio sequences of sequence similar, then retaining wantonly two row, to sentence the corresponding sub- posteriority of sequence firmly general At least two sub- posterior probability log-likelihood ratio sequences of row are obtained in either rank in rate log-likelihood ratio sequences, each window.
The embodiment of the present invention is by the difference of the bit number of wantonly two row hard decision sequence, to the sub- posterior probability in each window Log-likelihood ratio sequences are deleted, and can not only reduce the number of posterior probability log-likelihood ratio sequences, reduce answering for decoding Miscellaneous degree, can also increase diversity gain.
Fig. 5 is the schematic flow sheet shown in decoding process method of embodiment of the present invention embodiment five, as shown in figure 5, this hair Bright embodiment carries out pre-decode to log-likelihood ratio sequences, obtains at least two row posteriority general on the basis of embodiment illustrated in fig. 2 Rate log-likelihood ratio sequences specifically may comprise steps of:
S501:Log-likelihood ratio sequences are divided at least two windows, corresponding each window and obtain a row logarithm seemingly So compare sequence;
S502:SOVA decoder algorithm is carried out to the sub- log-likelihood ratio sequences in each window or maximum a posteriori is general Rate decoding algorithm, then obtain at least two sub- posterior probability log-likelihood ratio sequences of row in each window;
S503:It is determined that wantonly two at least two sub- posterior probability log-likelihood ratio sequences of row arrange sub- log-likelihood ratio sequences Euclidean distance, if Euclidean distance is less than default Euclidean distance, retains in the sub- posterior probability log-likelihood ratio sequences of wantonly two row At least two sub- posterior probability log-likelihood ratio sequences of row are obtained in either rank, each window;
S504:Obtain any sub- posterior probability log-likelihood ratio sequences in each window and recombinated, then in each window Obtain at least two row posterior probability log-likelihood ratio sequences.
Above-mentioned steps S501, S502 are similar with the step S201 to S203 in Fig. 2 embodiments with S504, and the present embodiment is herein Repeat no more.
The present embodiment and the main distinction of Fig. 4 embodiments be, the present embodiment is by comparing after the method for Euclidean distance, antithetical phrase Probability likelihood ratio sequence is tested, is deleted, the main method deleted is as shown in step S503.This method is mainly by calculating wantonly two The Euclidean distance of sub- posterior probability log-likelihood ratio sequences is arranged, if calculating obtained Euclidean distance is less than default Euclidean distance, Show that this sub- posterior probability log-likelihood ratio sequences of two row is similar sub- posterior probability log-likelihood ratio sequences, then retain this two Arrange and at least one sub- posterior probability log-likelihood ratio of row is obtained in the either rank in sub- posterior probability log-likelihood ratio sequences, each window Sequence.
The embodiment of the present invention passes through the Euclidean distance and default Euclidean to the wantonly two sub- posterior probability log-likelihood ratio sequences of row Sub- posterior probability log-likelihood ratio sequences in each window are deleted, can not only reduce posterior probability by the comparison of distance The number of log-likelihood ratio sequences, reduces the complexity of decoding, can also increase diversity gain.
Fig. 6 is to delete schematic diagram shown in decoding process method of embodiment of the present invention embodiment six.Signal shown in Fig. 6 Figure, is specifically to delete the signal of process in implementing to Fig. 4 and Fig. 5, as shown in fig. 6, log-likelihood ratio sequences are divided into three In individual window, each window after SOVA decoder algorithm or maximum posteriori decoding algorithm, 2 row are obtained in each window Sub- posterior probability log-likelihood ratio sequences.Wherein, 1-1 and 1-2 is the sub- posterior probability log-likelihood ratio sequences of window 1,2-1 and 2- 2 be the sub- posterior probability log-likelihood ratio sequences of window 2, and 3-1 and 3-2 is the sub- posterior probability log-likelihood ratio sequences of window 3.By When method shown in Fig. 4 or Fig. 5 embodiments is deleted, determine that 1-1 bit numbers different from 1-2's are less than predetermined bit number When, or 1-1 and 1-2 Euclidean distance when being less than default Euclidean distance, then the two is similar sub- posterior probability log-likelihood ratio Sequence, therefore, can retain 1-1, delete 1-2.By same process, it is similar sub- posterior probability logarithm to 3-2 to determine 3-1 Likelihood ratio sequence, then retain 3-1, deletes 3-2.And 2-1 and 2-2 is deleted by the method shown in Fig. 4 or Fig. 5 embodiments When, determine that 2-1 bit numbers different from 2-2's are more than predetermined bit number, or 2-1 and 2-2 Euclidean distance is more than default Europe Family name apart from when, then the two is dissimilar sub- posterior probability log-likelihood ratio sequences, so the two retains.Now, each The sub- posterior probability log-likelihood ratio sequences of an optional row are recombinated in window, then can form two row posterior probability log-likelihood ratios Sequence 1-1-2-1-3-1 and 1-1-2-2-3-1.As can be seen here, relative to the combination do not deleted, it can be reduced to by original 23 row Two row, greatly reducing amount of calculation and computation complexity.It will be understood by those skilled in the art that predetermined bit number is with presetting The concrete numerical value of Euclidean distance can determine according to actual needs, but purpose is that to ensure finally obtain at least two row posteriority general Rate log-likelihood ratio sequences.
Fig. 7 is the schematic flow sheet shown in decoding process method of embodiment of the present invention embodiment seven, as shown in fig. 7, this hair The decoding process method that bright embodiment is provided comprises the following steps:
S701:Receive the log-likelihood ratio sequences that decoding demodulator is sent;
S702:Pre-decode is carried out to log-likelihood ratio sequences, at least two row posterior probability log-likelihood ratio sequences are obtained;
S703:First is carried out at least two row posterior probability log-likelihood ratio sequences to decode, obtain extremely using Turbo decodings Few two row first decoding result;
S704:CRC check is carried out at least two row first decoding result, if verification passes through, the correct decoding result of output, If inspection does not pass through, the output decoding result of first row first.
Step S701 in the present embodiment is similar with the step S101 shown in Fig. 1 embodiments, and the present embodiment is no longer gone to live in the household of one's in-laws on getting married herein State.Step S702 is similar with embodiment of the method shown in above-mentioned Fig. 2 to Fig. 6, reference can be made to above method embodiment, the present embodiment is herein Repeat no more.
For step S703 and step S704, using Turbo decodings at least two row posterior probability log-likelihood ratio sequences First is carried out to decode, wherein, Turbo decodings can select the decoded mode of serial or parallel, obtain at least two row first and decode As a result.
Obtain after at least two row first decoding result, result is decoded at least two row first by CRC and carries out CRC respectively Verification, the correct first decoding result of selection CRC check is as final decoding result output, if all first decoding results are all The first decoding result of first row by CRC check, then can not be exported as final decoding result.
It will be understood by those skilled in the art that being decoded for Turbo, CRC check can not be also used, and selects above-mentioned pair Hard decision result makes decisions, and obtains decoding result.The Turbo interpretation methods of CRC check are used to be decoded for preferred Turbo. For LDPC decodings, LDPC decodings have self-checking function, without passing through CRC check, you can output decoding result, for example, LDPC and product decoding algorithm in, each variable node passes to its corresponding log-likelihood ratio all verifications being attached thereto Node, is iterated decoding, after each iteration terminates, and carries out hard decision, when hard decision sequence meets check matrix, stops iteration And decoding result is exported, otherwise continue iteration to maximum iteration.
Decoding process method provided in an embodiment of the present invention, by being verified to the code word in decoding result, energy Enough export correct code word.
Fig. 8 is the structural representation of decoder implementation of embodiment of the present invention example one, as shown in figure 8, the embodiment of the present invention is carried The decoder of confession, including receiving module 81, soft output listing generation module 82, decoding module 83.Wherein, receiving module 81 is used for The log-likelihood ratio sequences that decoding demodulator is sent are received, soft output listing generation module 82 is used for the log-likelihood ratio sequence Row carry out pre-decode, obtain at least two row posterior probability log-likelihood ratio sequences, and decoding module 83 is used to arrange described at least two Posterior probability log-likelihood ratio sequences enter row decoding, obtain decoding result.
The decoder of the present embodiment can be used for the technical scheme for performing embodiment of the method shown in above-mentioned Fig. 1, and it realizes former Reason is similar with technique effect, and here is omitted.
Further, the soft output listing generation module 82 is specifically for using SOVA decoder algorithm to institute State log-likelihood ratio sequences and carry out pre-decode, obtain at least two row posterior probability log-likelihood ratio sequences.
Further, the soft output listing generation module 82 is specifically for using maximum posteriori decoding algorithm to institute State log-likelihood ratio sequences and carry out pre-decode, obtain at least two row posterior probability log-likelihood ratio sequences.
The decoder of the present embodiment can be used for the technical scheme for performing above method embodiment, its realization principle and technology Effect is similar, and here is omitted.
Further, the soft output listing generation module 82 specifically for:
The log-likelihood ratio sequences are divided at least two windows, corresponding each window and obtain a row log-likelihood Compare sequence;
SOVA decoder algorithm is carried out to the sub- log-likelihood ratio sequences in each window or maximum a posteriori is general Rate decoding algorithm, then obtain at least two sub- posterior probability log-likelihood ratio sequences of row in each window;
Obtain any sub- posterior probability log-likelihood ratio sequences in each window and recombinated, then obtained in each window To at least two row posterior probability log-likelihood ratio sequences.
The decoder of the present embodiment can be used for the technical scheme for performing embodiment of the method shown in above-mentioned Fig. 2, and it realizes former Reason is similar with technique effect, and here is omitted.
Further, any sub- posterior probability log-likelihood ratio sequences obtained in each window and weight is carried out Group, then before obtaining at least two row posterior probability log-likelihood ratio sequences in each window, the soft output listing generation module 82 Also particularly useful for:
At least two row, which are obtained, according to the described at least two sub- posterior probability log-likelihood ratio sequences of row sentences sequence firmly;
It is determined that the hard wantonly hard different bit numbers sentenced between sequence of two row sentenced in sequence of at least two row, if the difference Bit number is less than predetermined bit number, then retains wantonly two row and sentence the sub- posterior probability logarithm of corresponding wantonly two row of sequence firmly seemingly So than the either rank in sequence, then at least one sub- posterior probability log-likelihood ratio sequences of row are obtained in each window.
The decoder of the present embodiment can be used for the technical scheme for performing embodiment of the method shown in above-mentioned Fig. 4, and it realizes former Reason is similar with technique effect, and here is omitted.
Further, any sub- posterior probability log-likelihood ratio sequences obtained in each window and weight is carried out Group, then before obtaining at least two row posterior probability log-likelihood ratio sequences in each window, the soft output listing generation module 82 Also particularly useful for:
It is determined that wantonly two in the sub- posterior probability log-likelihood ratio sequences of at least two row arrange sub- log-likelihood ratio sequences Euclidean distance, if the Euclidean distance is less than default Euclidean distance, retains the sub- posterior probability log-likelihood ratio of wantonly two row At least one sub- posterior probability log-likelihood ratio sequences of row are obtained in either rank in sequence, each window.
The decoder of the present embodiment can be used for the technical scheme for performing embodiment of the method shown in above-mentioned Fig. 5, and it realizes former Reason is similar with technique effect, and here is omitted.
Further, the decoding module 83 is general at least two row posteriority specifically for being decoded using Turbo Rate log-likelihood ratio sequences enter row decoding, obtain decoding result;Or
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using low density parity check coding, obtained Result must be decoded.
Further, the decoding module 83 specifically for:
First is carried out at least two row posterior probability log-likelihood ratio sequences to decode, obtain extremely using Turbo decodings Few two row first decoding result;
CRC check is carried out at least two row first decoding result, if verification passes through, the correct decoding result of output, If inspection does not pass through, the output decoding result of first row first.
The decoder of the present embodiment can be used for the technical scheme for performing embodiment of the method shown in above-mentioned Fig. 7, and it realizes former Reason is similar with technique effect, and here is omitted.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above-mentioned each method embodiment can lead to The related hardware of programmed instruction is crossed to complete.Foregoing program can be stored in a computer read/write memory medium.The journey Sequence upon execution, performs the step of including above-mentioned each method embodiment;And foregoing storage medium includes:ROM, RAM, magnetic disc or Person's CD etc. is various can be with the medium of store program codes.
Finally it should be noted that:Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations;To the greatest extent The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that:Its according to The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered Row equivalent substitution;And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology The scope of scheme.

Claims (10)

1. a kind of decoding process method, it is characterised in that including:
Receive the log-likelihood ratio sequences that decoding demodulator is sent;
Pre-decode is carried out to the log-likelihood ratio sequences, at least two row posterior probability log-likelihood ratio sequences are obtained;
At least two row posterior probability log-likelihood ratio sequences are entered with row decoding, decoding result is obtained;
Wherein, it is described that pre-decode is carried out to the log-likelihood ratio sequences, obtain at least two row posterior probability log-likelihood ratio sequences Row, including:
The log-likelihood ratio sequences are divided at least two windows, corresponding each window and obtain a row log-likelihood ratio sequence Row;
Sub- log-likelihood ratio sequences in each window are carried out with SOVA decoder algorithm or maximum posteriori decoding is calculated Method, then obtain at least two sub- posterior probability log-likelihood ratio sequences of row in each window;
Obtain any sub- posterior probability log-likelihood ratio sequences in each window and recombinated, then obtain at least two in each window Row posterior probability log-likelihood ratio sequences.
2. according to the method described in claim 1, it is characterised in that any sub- posterior probability obtained in each window Log-likelihood ratio sequences are simultaneously recombinated, then obtain before at least two row posterior probability log-likelihood ratio sequences, go back in each window Including:
At least two row, which are obtained, according to the described at least two sub- posterior probability log-likelihood ratio sequences of row sentences sequence firmly;
It is determined that the hard wantonly hard different bit numbers sentenced between sequence of two row sentenced in sequence of at least two row, if the different bits Number is less than predetermined bit number, then retains wantonly two row and sentence the sub- posterior probability log-likelihood ratio of corresponding wantonly two row of sequence firmly Either rank in sequence, then obtain at least one sub- posterior probability log-likelihood ratio sequences of row in each window.
3. according to the method described in claim 1, it is characterised in that any sub- posterior probability obtained in each window Log-likelihood ratio sequences are simultaneously recombinated, then obtain before at least two row posterior probability log-likelihood ratio sequences, go back in each window Including:
It is determined that the Euclidean of the sub- log-likelihood ratio sequences of wantonly two row in the sub- posterior probability log-likelihood ratio sequences of at least two row Distance, if the Euclidean distance is less than default Euclidean distance, retains the sub- posterior probability log-likelihood ratio sequences of wantonly two row In either rank, at least one sub- posterior probability log-likelihood ratio sequences of row are obtained in each window.
4. the method according to claim any one of 1-3, it is characterised in that described at least two row posterior probability pair Number likelihood ratio sequence is decoded, and obtains decoding result, including:
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using Turbo decodings, decoding result is obtained;Or
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using low density parity check coding, translated Code result.
5. method according to claim 4, it is characterised in that the use Turbo decodings are at least two row posteriority Probability log-likelihood ratio sequences enter row decoding, obtain decoding result, including:
First is carried out at least two row posterior probability log-likelihood ratio sequences to decode, obtain at least two using Turbo decodings Row first decode result;
CRC check is carried out at least two row first decoding result, if verification passes through, the correct decoding result of output, if inspection Test and do not pass through, then export the decoding result of first row first.
6. a kind of decoder, it is characterised in that including:
Receiving module:For receiving the log-likelihood ratio sequences that decoding demodulator is sent;
Soft output listing generation module:For carrying out pre-decode to the log-likelihood ratio sequences, at least two row posteriority are obtained general Rate log-likelihood ratio sequences;
Decoding module:For at least two row posterior probability log-likelihood ratio sequences to be entered with row decoding, decoding result is obtained;
The soft output listing generation module specifically for:
The log-likelihood ratio sequences are divided at least two windows, corresponding each window and obtain a row log-likelihood ratio sequence Row;
SOVA decoder algorithm is carried out to the sub- log-likelihood ratio sequences in each window or maximum a posteriori probability is translated Code algorithm, then obtain at least two sub- posterior probability log-likelihood ratio sequences of row in each window;
Obtain any sub- posterior probability log-likelihood ratio sequences in each window and recombinated, then obtained in each window to Few two row posterior probability log-likelihood ratio sequences.
7. decoder according to claim 6, it is characterised in that any sub- posteriority in acquisition each window is general Rate log-likelihood ratio sequences are simultaneously recombinated, then before obtaining at least two row posterior probability log-likelihood ratio sequences in each window, The soft output listing generation module also particularly useful for:
At least two row, which are obtained, according to the described at least two sub- posterior probability log-likelihood ratio sequences of row sentences sequence firmly;
It is determined that the hard wantonly hard different bit numbers sentenced between sequence of two row sentenced in sequence of at least two row, if the different bits Number is less than predetermined bit number, then retains wantonly two row and sentence the sub- posterior probability log-likelihood ratio of corresponding wantonly two row of sequence firmly Either rank in sequence, then obtain at least one sub- posterior probability log-likelihood ratio sequences of row in each window.
8. decoder according to claim 6, it is characterised in that any sub- posteriority in acquisition each window is general Rate log-likelihood ratio sequences are simultaneously recombinated, then before obtaining at least two row posterior probability log-likelihood ratio sequences in each window, The soft output listing generation module also particularly useful for:
It is determined that the Euclidean of the sub- log-likelihood ratio sequences of wantonly two row in the sub- posterior probability log-likelihood ratio sequences of at least two row Distance, if the Euclidean distance is less than default Euclidean distance, retains the sub- posterior probability log-likelihood ratio sequences of wantonly two row In either rank, at least one sub- posterior probability log-likelihood ratio sequences of row are obtained in each window.
9. the decoder according to claim any one of 6-8, it is characterised in that the decoding module specifically for:
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using Turbo decodings, decoding result is obtained;Or
Row decoding is entered at least two row posterior probability log-likelihood ratio sequences using low density parity check coding, translated Code result.
10. decoder according to claim 9, it is characterised in that the decoding module specifically for:
First is carried out at least two row posterior probability log-likelihood ratio sequences to decode, obtain at least two using Turbo decodings Row first decode result;
CRC check is carried out at least two row first decoding result, if verification passes through, the correct decoding result of output, if inspection Test and do not pass through, then export the decoding result of first row first.
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