CN106972864A - Quasi-cyclic LDPC encoder based on check matrix in deep space communication - Google Patents

Quasi-cyclic LDPC encoder based on check matrix in deep space communication Download PDF

Info

Publication number
CN106972864A
CN106972864A CN201710235925.8A CN201710235925A CN106972864A CN 106972864 A CN106972864 A CN 106972864A CN 201710235925 A CN201710235925 A CN 201710235925A CN 106972864 A CN106972864 A CN 106972864A
Authority
CN
China
Prior art keywords
matrix
vector
circular
rank
accumulator
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN201710235925.8A
Other languages
Chinese (zh)
Inventor
刘明璐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
RONGCHENG DINGTONG ELECTRONIC INFORMATION TECHNOLOGY Co Ltd
Original Assignee
RONGCHENG DINGTONG ELECTRONIC INFORMATION TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by RONGCHENG DINGTONG ELECTRONIC INFORMATION TECHNOLOGY Co Ltd filed Critical RONGCHENG DINGTONG ELECTRONIC INFORMATION TECHNOLOGY Co Ltd
Priority to CN201710235925.8A priority Critical patent/CN106972864A/en
Publication of CN106972864A publication Critical patent/CN106972864A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/03Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
    • H03M13/05Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
    • H03M13/11Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits using multiple parity bits
    • H03M13/1102Codes on graphs and decoding on graphs, e.g. low-density parity check [LDPC] codes
    • H03M13/1148Structural properties of the code parity-check or generator matrix
    • H03M13/116Quasi-cyclic LDPC [QC-LDPC] codes, i.e. the parity-check matrix being composed of permutation or circulant sub-matrices

Landscapes

  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Error Detection And Correction (AREA)

Abstract

The invention provides the quasi-cyclic LDPC encoder based on check matrix in a kind of deep space communication, the encoder includes a kind of backward iterative circuit and 1 vector and the multiplier of high-density matrix.Vector and the multiplier of high-density matrix realize vector and the multiplying of high-density matrix, and backward iterative circuit realizes backward interative computation.Whole cataloged procedure is divided into 3 level production lines, and the first order and the third level use same type of backward iterative circuit, and the second level uses vector and the multiplier of high-density matrix.1/2 code check quasi-cyclic LDPC encoder has the advantages that simple in construction, cost is low, handling capacity is big in the deep space communication system that the present invention is provided.

Description

Quasi-cyclic LDPC encoder based on check matrix in deep space communication
Technical field
The present invention relates to field of channel coding, the QC- based on check matrix in more particularly to a kind of deep space communication system LDPC encoder.
Background technology
Low-density checksum (Low-Density Parity-Check, LDPC) code be efficient channel coding technology it One, and quasi-cyclic LDPC (Quasi-Cyclic LDPC, QC-LDPC) code is a kind of special LDPC code.The life of QC-LDPC codes All it is the array being made up of circular matrix into matrix G and check matrix H, the characteristics of with Circulant Block, therefore is referred to as QC-LDPC Code.The first trip of circular matrix is the result of footline ring shift right 1, and remaining each row is all the knot of its lastrow ring shift right 1 Really, therefore, circular matrix is characterized by its first trip completely.Generally, the first trip of circular matrix is referred to as its generator polynomial.
Deep space communication standard uses the QC-LDPC codes of system form, and its generator matrix G left-half is a unit square Battle array, right half part is by e × c b × b rank circular matrixes Gi,j(0≤i<e,e≤j<T, t=e+c) constitute array, following institute Show:
Wherein, I is b × b rank unit matrixs, and 0 is b × b rank full null matrix.G continuous b rows and b row are known respectively as block Row and block row.From formula (1), G has e blocks row and t blocks row.Deep space communication standard employs a kind of QC- of code check η=1/2 LDPC code, for the code, t=20, e=8, c=12, b=2048.
The existing solution of 1/2 code check QC-LDPC encoders is based on c I type shift LD in deep space communication standard Device adds the serial encoder of accumulator (Type-I Shift-Register-Adder-Accumulator, SRAA-I) circuit.By The serial encoder that c SRAA-I circuit is constituted, completes coding within e × b clock cycle.The program needs 2 × c × b Register, c × b two inputs and door and c × b two input XOR gate, in addition it is also necessary to e × c × b bits ROM storage circular matrixes Generator polynomial.The program has two shortcomings:One is to need a large amount of memories, causes circuit cost high;Two be serial input Information bit, coding rate is slow.
The content of the invention
The existing implementation of 1/2 code check QC-LDPC encoders has that cost is high, coding rate is slow in deep space communication system Shortcoming, for these technical problems, the invention provides a kind of QC-LDPC encoders based on check matrix.
As shown in Fig. 2 the QC-LDPC encoders based on check matrix are mainly made up of 2 parts in deep space communication system:Afterwards To iterative circuit and vector and the multiplier of high-density matrix.3 steps of cataloged procedure point are completed:1st step, uses backward iterative circuit Calculate vector pyAnd x;2nd step, vector p is verified using vector and the multiplier calculating section of high-density matrixx;3rd step, is used Backward iterative circuit calculating section verification vector py, so as to obtain verifying vectorial p=(px,py)。
The QC-LDPC coder structures that the present invention is provided are simple, can be under conditions of coding rate is significantly improved, and reduction is deposited Reservoir, so as to reduce cost, improves handling capacity.
Advantage on the present invention can be further understood with method by following detailed description and accompanying drawings.
Brief description of the drawings
Fig. 1 is the structural representation of near lower triangular check matrix after ranks are exchanged;
Fig. 2 is the QC-LDPC cataloged procedures based on check matrix;
Fig. 3 is backward iterative circuit;
Fig. 4 is the functional block diagram of ring shift left accumulator RLA circuits;
Fig. 5 is a kind of vector and the multiplier of high-density matrix being made up of u RLA circuit;
Fig. 6 summarizes the hardware resource and processing time needed for each coding step of encoder and whole cataloged procedure.
Embodiment
Presently preferred embodiments of the present invention is elaborated below in conjunction with the accompanying drawings, so that advantages and features of the invention can be more It is easy to be readily appreciated by one skilled in the art, apparent is clearly defined so as to be made to protection scope of the present invention.
The row weight and row heavy phase of circular matrix are same, are denoted as w.If w=0, then the circular matrix is full null matrix.If W=1, then the circular matrix is replaceable, referred to as permutation matrix, and it can be by some positions of unit matrix I ring shift rights Obtain.The check matrix H of QC-LDPC codes is by c × t b × b rank circular matrixes Hi,k(1≤i≤c, 1≤k≤t, t=e+c) The following array constituted:
Under normal circumstances, any circular matrix in check matrix H is either full null matrix (w=0) or is displacement square Battle array (w=1).Make circular matrix Hi,kFirst trip gi,kIt is its generator polynomial.Because H is sparse, gi,kOnly 1 ' 1 ', even without ' 1 '.
Corresponding H preceding e blocks row are information vector a, and corresponding rear c blocks row are verification vector p.Using b bits as one section, letter Breath vector a is divided into e sections, i.e. a=(a1,a2,…,ae);Verification vector p is divided into c sections, i.e. p=(p1,p2,…,pc)。
Enter every trade to check matrix H to exchange and row swap operation, be converted near lower triangular shape HALT, such as Fig. 1 institutes Show.In Fig. 1, the unit of all matrixes is all b bits rather than 1 bit.A is by (c-u) × e b × b rank circular matrix structure Into B is made up of (c-u) × u b × b rank circular matrix, and T is made up of the individual b × b ranks circular matrixes of (c-u) × (c-u), C To be made up of u × e b × b rank circular matrix, D is made up of u × u b × b rank circular matrix, E be by u × (c-u) individual b × B ranks circular matrix is constituted.T is lower triangular matrix, and u reflects check matrix HALTWith the degree of closeness of lower triangular matrix.In Fig. 1 In, matrix A and C corresponding informances vector a, matrix B part verification vector p corresponding with Dx, matrix T and E then correspond to remaining school Test vectorial py.P=(px,py).Above-mentioned matrix and vector meet following relation:
px T=Φ (ET-1AaT+CaT) (3)
py T=T-1(AaT+Bpx T) (4)
Wherein, Φ=(ET-1B+D)-1, subscriptTWith-1Transposition is represented respectively and inverse.It is well known that circular matrix it is inverse, multiply Product and be still circular matrix.Therefore, Φ is also the array being made up of circular matrix.Although matrix E, T, B and D are sparse Matrix, but Φ is no longer sparse but highdensity under normal circumstances.
Make qT=T–1AaT, xT=EqT+CaTAnd px T=Φ xT(or px=x ΦT).So, formula (3) and (4) can be changed into:
With
[A B T][a px py]T=0 (6)
Because two matrixes in formula (5) and (6) are all lower triangular matrix as T, x and formula (6) in formula (5) In pyThe calculation of backward iteration can all be used.
If px=0, then py T=T–1AaT=qT, and formula (5) is rewritable is
Wherein,
V=[a px py x] (8)
If that is, pxIt is initialized as complete zero, then x can also be calculated by formula (7).Reset matrix X diagonal Upper all unit matrixs, can be obtained
Contrast (10) and Fig. 1 are visible, and H ' is fewer than H nonzero circle matrixes.
Deployable formula (7) is such as next group of equation:
Obviously, formula (6) is A part for formula (11), therefore, formula (7) also can be used to calculate py
From the above discussion, a kind of QC-LDPC cataloged procedures based on three class pipeline can be provided, as shown in Figure 2.Φ is related to And vector and the multiplication of high-density matrix, and X is related to backward iterative calculation.The second level uses vector and the multiplication of high-density matrix Device realizes px=x ΦT.Because X is lower triangular matrix, same type of backward iteration electricity can be used in the first order and the third level Road calculates x and p respectivelyy.In the first order, pxIt is initialized to complete zero, pyActually q;In the third level, pxAnd pyIt is respective reality Actual value, and x need not be calculated.
Make v=(v1,v2,…,vt+u), wherein, each section of vkAll it is v continuous b bits composition, 1≤k≤t+u.By formula (7) understood with Fig. 1, [pyX]=(vt–c+u+1,vt–c+u+2,…,vt+u).With vt–c+u+i=vi′Exemplified by, wherein, i '=t-c+u+i, 1≤i≤c, t-c+u+1≤i '≤t+u.For given QC-LDPC codes, i ' changes synchronous with i.Because lower triangular matrix X is Derived from from H, so Hi,i′=I, and work as k>During i ', Hi,k=0.From formula (7), X i-th piece of row and vTProduct meet
Nonzero circle matrix Hi,kRing shift right digit relative to b × b rank unit matrixs is si,k, wherein, 0≤si,k<B, Assuming that have N number of nonzero circle matrix in H ' i-th piece of row, their block row number be respectively k1, k2 ..., kN, and 1≤k1<k2 <…<kN<i′.So, formula (12) is changed into
In other words
Wherein, subscriptrs(s)Withls(s)Represent respectively to matrix (or vector) ring shift right or ring shift left s.
If vi′Calculated successively by formula (14) according to i ' ascending orders, then pyIt can be calculated paragraph by paragraph with x.The backward iteration mistake Journey circuit can be realized as shown in Figure 3.The backward iterative circuit is by 1 barrel shifter, 3 accumulators, 2 delayers, 2 Individual comparator, 1 multiplexer, 1 piece of read-only storage (ROM) and 1 piece of random access storage device (RAM) composition.In figure 3, bucket Shape shift unit uses bipartite structure and streamline mechanism, and inherent delay is τ clock cycle, wherein, τ={ log2B } represent that τ is Not less than log2B smallest positive integral.Barrel shifter is to some positions of b bit number ring shift lefts, and accumulator 1 is to barrel shift The output of device is added up.As shown in figure 3, all nonzero circle matrixes, i.e. H in H '1,k1、H1,k2、…、H1,kN、H2,k1、 H2,k2、…、Hi,kN、Hi+1,k1、…、Hc,kNBlock row number and carry digit block-by-block row be stored in ROM.Generally, Hi,kNSubscript KN is more than Hi+1,k1Subscript k1.Therefore, when the source address k changes that ROM is exported are small, destination address i ' and block line number i in formula (14) Should Jia 1 simultaneously.At the same time, the content of accumulator 1, i.e. destination operand vi′It is written into RAM, is then cleared, to count Calculate next destination operand.Delayer 1 is delayed 1 clock cycle, and it coordinates with comparator 1 judges whether k diminishes.Delayer 2 τ clock cycle of delay were to compensate for the inherent delay of barrel shifter.Accumulator 3 produces destination address i '.RAM according to The source address k output source operands v of ROM outputsk, destination operand vi′Write destination address i '.
Theoretically, in formula (14), source address k is necessarily less than destination address i '.In fact, because delayer 2 prolongs When τ clock cycle, it is possible that k >=i '.When this happens, the v of RAM outputskIt is invalid, because vi′ Do not calculate also, let alone vk.As k >=i ', ROM pause output new datas, and the number of feeding barrel shifter is not vk But 0.According to the output of comparator 2, accumulator 2 produces ROM address, and multiplexer is from vkWith 0 in alternative give barrel-shaped shifting Position device.
In the third level, if B preceding R blocks row are complete zero, then pyPreceding R sections without calculating because these sections The p that exactly equal to first order is calculatedyPreceding R sections.Again because in the third level x need not be calculated, thus the third level without using H ' preceding R blocks row and rear u blocks row.Assuming that in H ' and its middle (c-R-u) block row has α and β nonzero circle matrix respectively. Due to there is path delay, x and p is calculated in first and the third levelyThe total time lower limit spent is (τ of alpha+beta+2) the individual clock cycle. For 1/2 code check QC-LDPC codes in deep space communication system, α and β are 32 and 28 respectively.
If only considering the resource consumption of the chief component such as ROM, RAM, barrel shifter and accumulator 1 in Fig. 3, that The backward iterative circuit needs τ b triggers, b two input XOR gates, the RAM and ({ log of (t+u) b bits2t}+ {log2B }) ROM of β bits.
Vector p is calculated using backward iterative circuityAnd the step of x is as follows:
1st step, resets accumulator 1 and accumulator 2, and initialization accumulator 3 is i '=t-c+u+1;
2nd step, the address that ROM is produced according to accumulator 2 exports source address k and carry digit si,k
3rd step, RAM exports source operand v according to source address kk, comparator 2 judge source address k whether be less than destination address I ', if k<I ', then the output of comparator 21, otherwise, and the output of comparator 20, delayer 1 coordinates with comparator 1 judges whether k diminishes, If diminishing, the output of comparator 11, otherwise, the output of comparator 10, the comparator 1 of 3 pairs of τ clock cycle of delay of accumulator are exported Added up, produce destination address i ';
4th step, according to the output of comparator 2, accumulator 2 produces ROM addresses, and multiplexer is from vkWith 0 in alternative give Barrel shifter, if the output of comparator 2 is 1, accumulator 2 is incremented by ROM addresses, and multiplexer is vkGive barrel shifter, Otherwise, the holding ROM of accumulator 2 addresses are constant, and multiplexer gives barrel shifter 0;
5th step, output ring shift left s of the barrel shifter to multiplexeri,kPosition, output of the accumulator 1 to barrel shifter Added up, when delayer 2 is output as 1, the content of accumulator 1 is destination operand vi′, vi′It is written into RAM mesh Address i ' in, at the same time, accumulator 1 is cleared, to calculate next destination operand;
6th step, repeat step 2~5, until [pyX]=(vt–c+u+1,vt–c+u+2,…,vt+u) be stored in paragraph by paragraph in RAM.
By formula (7), Fig. 1 and v=(v1,v2,…,vt+u) understand, px=(vt–c+1,vt–c+2,…,vt–c+u) and x=(vt+1, vt+2,…,vt+u)。px T=Φ xTIt is equivalent to px=x ΦT.Make x=(x1,x2,…,xu×b).Define u bit vectors sn=(xn, xn+b,…,xn+(u-1)×b), wherein 1≤n≤b.Make Φj(1≤j≤u) is by ΦTJth block row in the generation of all circular matrixes U × b rank matrixes that multinomial is constituted.Then have
vt-c+j=(... ((0+s1Φj)ls(1)+s2Φj)ls(1)+…+sbΦj)ls(1) (15)
A kind of ring shift left accumulator (Rotate-Left-Accumulator, RLA) circuit can obtain by formula (15), such as Shown in Fig. 4.The index of look-up table is u bit vectors sn, look-up table LjIt is previously stored variable u bit vectors and fixed Φj's Be possible to product, therefore need 2uThe read-only storage (Read-Only Memory, ROM) of b bits.B bit registers R1, R2,…,RuIt is respectively used to buffer the array section v of vector xt+1,vt+2,…,vt+u, b bit registers Ru+jFor storing pxVerification Section vt–c+j.1 RLA circuit counting vector vt–c+jNeed b clock cycle.
For deep space communication system, p is calculated simultaneously using u=4 RLA circuitx=(vt–c+1,vt–c+2,…,vt–c+u) be A kind of reasonable plan, vector and the multiplier of high-density matrix as shown in Figure 5.Vector and the multiplier of high-density matrix are by u Individual look-up table L1,L2,…,Lu, 2u b bit registers R2,1,R2,2,…,R2,2uWith the u input XOR gate X of b positions two2,1, X2,2,…,X2,uComposition.Look-up table L1,L2,…,LuVariable u bit vectors and fixed matrix Φ are stored respectively12,…, ΦuBe possible to product, register R2,1,R2,2,…,R2,uIt is respectively used to buffer the array section v of vector xt+1,vt+2,…, vt+u, register R2,u+1,R2,u+2,…,R2,2uIt is respectively used to store pxVerification section vt–c+1,vt–c+2,…,vt–c+u.U RLA electricity Road need to use ub two input XOR gate, 2uThe ROM of ub bits and 2ub register.U RLA circuit countings vector pxNeed b The individual clock cycle.Vector p is calculated using vector and the multiplier of high-density matrixxThe step of it is as follows:
1st step, resets register R2,u+1,R2,u+2,…,R2,2u, input vector section vt+1,vt+2,…,vt+u, they are distinguished It is stored in register R2,1,R2,2,…,R2,uIn;
2nd step, register R2,1,R2,2,…,R2,uRing shift left 1 time, XOR gate X simultaneously2,1,X2,2,…,X2,uIt is right respectively Look-up table L1,L2,…,LuOutput and register R2,u+1,R2,u+2,…,R2,2uContent carry out XOR, XOR result circulated Move to left and be stored back to register R after 1 time respectively2,u+1,R2,u+2,…,R2,2u
3rd step, repeats the 2nd step b-1 times, after the completion of, register R2,u+1,R2,u+2,…,R2,2uThe content of storage is school respectively Test a section vt–c+1,vt–c+2,…,vt–c+u, they constitute part verification vector px
The invention provides a kind of QC-LDPC coding methods based on check matrix, it is adaptable in deep space communication system 1/2 code check QC-LDPC codes, its coding step is described as follows:
1st step, vector p is calculated using backward iterative circuityAnd x;
2nd step, vector p is verified using vector and the multiplier calculating section of high-density matrixx
3rd step, vector p is verified using backward iterative circuit calculating sectiony, so as to obtain verifying vectorial p=(px,py)。
When Fig. 6 summarizes hardware resource consumption and the processing needed for each coding step of encoder and whole cataloged procedure Between.
It is not difficult to find out from Fig. 6, when streamline is full of, whole cataloged procedure about needs max (α+τ, b, β+τ)=2048 altogether Clock cycle, much smaller than the e × b=16404 clock cycle needed for the serial encoding method based on c SRAA-I circuit.
The existing solution of 1/2 code check QC-LDPC encoders needs e × c × b=196608 ratios in deep space communication standard Special ROM, and the present invention needs ({ log2t}+{log2b})(α+β)+2uUb=131584 bits ROM.
As fully visible, compared with traditional serial SRAA methods, it is excellent that the present invention has that coding rate is fast, memory consumption is few etc. Point.
One of the foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, Any those skilled in the art disclosed herein technical scope in, the change that can be expected without creative work Change or replace, should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with claims The protection domain limited is defined.

Claims (4)

1. the quasi-cyclic LDPC encoder based on check matrix in a kind of deep space communication, the verification of 1/2 code check quasi-cyclic LDPC code Matrix H is the array being made up of c × t b × b rank circular matrix, wherein, c=12, t=20, b=2048, e=t-c=8, school Test matrix H and near lower triangular shape be transformed into by ranks exchange, 6 submatrixs can be divided into,A be by (c-u) × e b × b ranks circular matrix is constituted, and B is made up of (c-u) × u b × b rank circular matrix, and lower triangular matrix T is It is made up of the individual b × b ranks circular matrixes of (c-u) × (c-u), C is made up of u × e b × b rank circular matrix, and D is by u × u b × b ranks circular matrix is constituted, and E is made up of the individual b × b ranks circular matrixes of u × (c-u), wherein, u=4, Φ=(ET-1B+D)-1 It is to be made up of u × u b × b rank circular matrix, ΦjIt is by ΦTJth block row in all circular matrix generator polynomials constitute U × b rank matrixes, wherein, subscriptTWith-1Transposition and inverse, 1≤j≤u are represented respectively,Fewer than H non-zeros Circular matrix, is by c × t b × b rank circular matrixes Hi,kConstitute, wherein, I is unit matrix, and 0 is full null matrix, 1≤i≤ C, 1≤k≤t, i '=t-c+u+i, t-c+u+1≤i '≤t+u, nonzero circle matrix Hi,kRelative to b × b rank unit matrixs Ring shift right digit is si,k, wherein, 0≤si,k<B, A and C corresponding informance vector a, matrix B part verification vector corresponding with D px, matrix T and E then correspond to remaining verification vector py, verification vector p=(px,py), XvT=0, wherein,V=[a px pyX], using b bits as one section, vector v is divided into t+u sections, i.e. v=(v1,v2,…, vt+u), then px=(vt–c+1,vt–c+2,…,vt–c+u), py=(vt–c+u+1,vt–c+u+2,…,vt+u), x=(vt+1,vt+2,…, vt+u), it is characterised in that the encoder is included with lower component:
Backward iterative circuit, by 1 barrel shifter, 3 accumulators, 2 delayers, 2 comparators, 1 multiplexer, 1 piece All nonzero circle matrixes, i.e. H in ROM and 1 block RAM composition, H '1,k1、H1,k2、…、H1,kN、H2,k1、H2,k2、…、Hc,kNBlock It is stored in ROM, for calculating vectorial p row number and carry digit block-by-block rowyAnd x, wherein, 1≤k1<k2<…<kN<i′;
Vector and the multiplier of high-density matrix, by u look-up table L1,L2,…,Lu, 2u b bit registers R2,1,R2,2,…, R2,2uWith the u input XOR gate X of b positions two2,1,X2,2,…,X2,uComposition, for calculating section verification vector px, look-up table L1, L2,…,LuVariable u bit vectors and fixed matrix Φ are stored respectively12,…,ΦuBe possible to product.
2. the quasi-cyclic LDPC encoder based on check matrix, its feature in a kind of deep space communication according to claim 1 It is, the backward iterative circuit calculates vector pyAnd the step of x is as follows:
1st step, resets accumulator 1 and accumulator 2, and initialization accumulator 3 is i '=t-c+u+1,;
2nd step, the address that ROM is produced according to accumulator 2 exports source address k and carry digit si,k
3rd step, RAM exports source operand v according to source address kk, comparator 2 judge source address k whether be less than destination address i ', if k<I ', then the output of comparator 21, otherwise, and the output of comparator 20, delayer 1 coordinates with comparator 1 judges whether k diminishes, if becoming Small, then the output of comparator 11, otherwise, the output of comparator 10, the output of comparator 1 of 3 pairs of τ clock cycle of delay of accumulator are carried out It is cumulative, destination address i ' is produced, wherein, τ={ log2B } represent that τ is no less than log2B smallest positive integral, barrel shifter is consolidated It is τ clock cycle to have delay;
4th step, according to the output of comparator 2, accumulator 2 produces ROM addresses, and multiplexer is from vkWith 0 in alternative give barrel-shaped shifting Position device, if the output of comparator 2 is 1, accumulator 2 is incremented by ROM addresses, and multiplexer is vkBarrel shifter is given, otherwise, is tired out Plus the holding ROM of device 2 addresses are constant, multiplexer gives barrel shifter 0;
5th step, output ring shift left s of the barrel shifter to multiplexeri,kPosition, output of the accumulator 1 to barrel shifter is carried out Cumulative, when delayer 2 is output as 1, the content of accumulator 1 is destination operand vi′, vi′It is written into RAM destination In the i ' of location, at the same time, accumulator 1 is cleared, to calculate next destination operand;
6th step, repeat step 2~5, until [pyX]=(vt–c+u+1,vt–c+u+2,…,vt+u) be stored in paragraph by paragraph in RAM.
3. the quasi-cyclic LDPC encoder based on check matrix, its feature in a kind of deep space communication according to claim 1 It is, the vector and the multiplier of high-density matrix calculate vector pxThe step of it is as follows:
1st step, resets register R2,u+1,R2,u+2,…,R2,2u, input vector section vt+1,vt+2,…,vt+u, they are stored in respectively Register R2,1,R2,2,…,R2,uIn;
2nd step, register R2,1,R2,2,…,R2,uRing shift left 1 time, XOR gate X simultaneously2,1,X2,2,…,X2,uRespectively to searching Table L1,L2,…,LuOutput and register R2,u+1,R2,u+2,…,R2,2uContent carry out XOR, XOR result is by ring shift left 1 Register R is stored back to after secondary respectively2,u+1,R2,u+2,…,R2,2u
3rd step, repeats the 2nd step b-1 times, after the completion of, register R2,u+1,R2,u+2,…,R2,2uThe content of storage is verification section respectively vt–c+1,vt–c+2,…,vt–c+u, they constitute part verification vector px
4. the quasi-cyclic LDPC coding method based on check matrix in a kind of deep space communication, the school of 1/2 code check quasi-cyclic LDPC code It is the array being made up of c × t b × b rank circular matrix to test matrix H, wherein, c=12, t=20, b=2048, e=t-c=8, Check matrix H is exchanged by ranks and is transformed near lower triangular shape, can be divided into 6 submatrixs,A is It is made up of (c-u) × e b × b rank circular matrix, B is made up of (c-u) × u b × b rank circular matrix, lower triangular matrix T It is to be made up of the individual b × b ranks circular matrixes of (c-u) × (c-u), C is made up of u × e b × b rank circular matrix, and D is by u × u Individual b × b ranks circular matrix is constituted, and E is made up of the individual b × b ranks circular matrixes of u × (c-u), wherein, u=4, Φ=(ET-1B+ D)-1It is to be made up of u × u b × b rank circular matrix, ΦjIt is by ΦTJth block row in all circular matrix generator polynomial structures Into u × b rank matrixes, wherein, subscriptTWith-1Transposition and inverse, 1≤j≤u are represented respectively,It is fewer than H Nonzero circle matrix, is by c × t b × b rank circular matrixes Hi,kConstitute, wherein, I is unit matrix, and 0 is full null matrix, 1≤ I≤c, 1≤k≤t, i '=t-c+u+i, t-c+u+1≤i '≤t+u, nonzero circle matrix Hi,kRelative to b × b rank unit matrixs Ring shift right digit be si,k, wherein, 0≤si,k<B, A and C corresponding informance vector a, a matrix B part corresponding with D verify to Measure px, matrix T and E then correspond to remaining verification vector py, verification vector p=(px,py), XvT=0, wherein,V=[a px pyX], using b bits as one section, vector v is divided into t+u sections, i.e. v=(v1,v2,…, vt+u), then px=(vt–c+1,vt–c+2,…,vt–c+u), py=(vt–c+u+1,vt–c+u+2,…,vt+u), x=(vt+1,vt+2,…, vt+u), it is characterised in that the coding method comprises the following steps:
1st step, vector p is calculated using backward iterative circuityAnd x;
2nd step, vector p is verified using vector and the multiplier calculating section of high-density matrixx
3rd step, vector p is verified using backward iterative circuit calculating sectiony, so as to obtain verifying vectorial p=(px,py)。
CN201710235925.8A 2017-04-12 2017-04-12 Quasi-cyclic LDPC encoder based on check matrix in deep space communication Withdrawn CN106972864A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710235925.8A CN106972864A (en) 2017-04-12 2017-04-12 Quasi-cyclic LDPC encoder based on check matrix in deep space communication

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710235925.8A CN106972864A (en) 2017-04-12 2017-04-12 Quasi-cyclic LDPC encoder based on check matrix in deep space communication

Publications (1)

Publication Number Publication Date
CN106972864A true CN106972864A (en) 2017-07-21

Family

ID=59332264

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710235925.8A Withdrawn CN106972864A (en) 2017-04-12 2017-04-12 Quasi-cyclic LDPC encoder based on check matrix in deep space communication

Country Status (1)

Country Link
CN (1) CN106972864A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114157307A (en) * 2021-12-06 2022-03-08 江苏正赫通信息科技有限公司 Hardware implementation method and device for quasi-cyclic LDPC coding

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114157307A (en) * 2021-12-06 2022-03-08 江苏正赫通信息科技有限公司 Hardware implementation method and device for quasi-cyclic LDPC coding
CN114157307B (en) * 2021-12-06 2022-08-16 江苏正赫通信息科技有限公司 Hardware implementation method and device for quasi-cyclic LDPC coding

Similar Documents

Publication Publication Date Title
CN102882532B (en) LDPC (low density parity check) encoder in CMMB (China mobile multimedia broadcasting) based on rotate right accumulation and encoding method
CN102857238A (en) LDPC (Low Density Parity Check) encoder and encoding method based on summation array in deep space communication
CN105099467A (en) QC-LDPC code coding method and device
CN102857240A (en) LDPC (Low Density Parity Check) encoder and encoding method based on circulation shift right accumulation in deep space communication
CN106972864A (en) Quasi-cyclic LDPC encoder based on check matrix in deep space communication
CN106982063A (en) Quasi-cyclic LDPC encoder based on check matrix in WPAN
CN104579366B (en) High speed QC-LDPC encoder in WPAN based on three class pipeline
CN106953646A (en) Quasi-cyclic LDPC encoder based on shared mechanism
CN106953645A (en) Quasi-cyclic LDPC encoder based on shared mechanism in deep space communication
CN106982064A (en) Quasi-cyclic LDPC encoder based on check matrix in CDR
CN106982069A (en) Quasi-cyclic LDPC encoder based on check matrix in CMMB
CN106982065A (en) Quasi-cyclic LDPC encoder based on check matrix
CN106982067A (en) Quasi-cyclic LDPC encoder based on check matrix in DTMB
CN106982062A (en) Quasi-cyclic LDPC encoder based on shared mechanism in WPAN
CN106982066A (en) Quasi-cyclic LDPC encoder based on shared mechanism in CDR
CN106961281A (en) Quasi-cyclic LDPC encoder based on shared mechanism in DTMB
CN106982068A (en) Quasi-cyclic LDPC encoder based on shared mechanism in CMMB
CN103268214A (en) Quasi-cyclic matrix high-speed multiplier in deep space communication based on lookup table
CN104539297B (en) High speed QC-LDPC encoders based on four level production lines in DTMB
CN104579365B (en) High speed QC-LDPC encoders based on four level production lines
CN104579364B (en) High speed QC-LDPC encoders based on four level production lines in CDR
CN104518803B (en) High speed QC-LDPC encoders based on four level production lines in CMMB
CN106571830A (en) LDPC encoder for secondary level full parallel input ring shift left in deep space communication
CN106452459A (en) Two-level all-parallel input ring shift left LDPC coder
CN106656206A (en) Two-level full parallel input ring left shift LDPC encoder in CDR

Legal Events

Date Code Title Description
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication
WW01 Invention patent application withdrawn after publication

Application publication date: 20170721