Low density parity check encoder having length of 16200 and code rate of 3/15, and low density parity check encoding method using the same
11711096 · 2023-07-25
Assignee
Inventors
- Sung-Ik Park (Daejeon, KR)
- Heung-Mook Kim (Daejeon, KR)
- Sun-Hyoung Kwon (Daejeon, KR)
- Nam-Ho Hur (Sejong, KR)
Cpc classification
H03M13/036
ELECTRICITY
H03M13/2792
ELECTRICITY
H03M13/1165
ELECTRICITY
H04L1/0043
ELECTRICITY
H03M13/1185
ELECTRICITY
H03M13/616
ELECTRICITY
International classification
H03M13/03
ELECTRICITY
Abstract
A low density parity check (LDPC) encoder, an LDPC decoder, and an LDPC encoding method are disclosed. The LDPC encoder includes first memory, second memory, and a processor. The first memory stores an LDPC codeword having a length of 16200 and a code rate of 3/15. The second memory is initialized to 0. The processor generates the LDPC codeword corresponding to information bits by performing accumulation with respect to the second memory using a sequence corresponding to a parity check matrix (PCM).
Claims
1. A transmitter for a broadcast signal, comprising: an LDPC encoder configured to generate an LDPC codeword having a length of 16200 and a code rate of 3/15 by performing accumulation with respect to memory initialized to 0, using a sequence corresponding to a parity check matrix (PCM); and a modulator configured to generate a modulated signal corresponding to the LDPC codeword, wherein the sequence is represented by the following Sequence Table: TABLE-US-00007 Sequence Table 1st row: 8 372 841 4522 5253 7430 8542 9822 10550 11896 11988 2nd row: 80 255 667 1511 3549 5239 5422 5497 7157 7854 11267 3rd row: 257 406 792 2916 3072 3214 3638 4090 8175 8892 9003 4th row: 80 150 346 1883 6838 7818 9482 10366 10514 11468 12341 5th row: 32 100 978 3493 6751 7787 8496 10170 10318 10451 12561 6th row: 504 803 856 2048 6775 7631 8110 8221 8371 9443 10990 7th row: 152 283 696 1164 4514 4649 7260 7370 11925 11986 12092 8th row: 127 1034 1044 1842 3184 3397 5931 7577 11898 12339 12689 9th row: 107 513 979 3934 4374 4658 7286 7809 8830 10804 10893 10th row: 2045 2499 7197 8887 9420 9922 10132 10540 10816 11876 11st row: 2932 6241 7136 7835 8541 9403 9817 11679 12377 12810 12nd row: 2211 2288 3937 4310 5952 6597 9692 10445 11064 11272.
2. The transmitter of claim 1, wherein the LDPC codeword includes a systematic part corresponding to information bits, a first parity part and a second parity part, wherein the accumulation is performed at parity bit addresses that are updated based on results of comparing each of previous parity bit addresses specified in respective rows of the sequence with the size of the first parity part, and wherein the parity bit addresses are updated in accordance with the following equation:
(x+m×Q.sub.1)mod M.sub.1 if x<M.sub.1
M.sub.1+{(x−M.sub.1+m×Q.sub.2)mod M.sub.2} if x≥M.sub.1 where x denotes the previous parity bit addresses, m is an information bit index, L is a circulant permutation matrix (CPM) size of the PCM, Q.sub.1 is M.sub.1/L, M.sub.1 is the size of the first parity part, Q.sub.2 is M.sub.2/L, and M.sub.2 is the size of the second parity part.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The above and other objects, features and advantages of the present invention will be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings, in which:
(2)
(3)
(4)
(5)
(6)
(7)
(8)
DETAILED DESCRIPTION
(9) Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Repeated descriptions and descriptions of well-known functions and configurations that have been deemed to make the gist of the present invention unnecessarily obscure will be omitted below. The embodiments of the present invention are intended to fully describe the present invention to persons having ordinary knowledge in the art to which the present invention pertains. Accordingly, the shapes, sizes, etc. of components in the drawings may be exaggerated to make the description obvious.
(10) Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
(11)
(12) Referring to
(13) The transmitter 10 generates an n-bit codeword by encoding k information bits using an LDPC encoder 13. The codeword is modulated by the modulator 15, and is transmitted via an antenna 17. The signal transmitted via the wireless channel 20 is received via the antenna 31 of the receiver 30, and, in the receiver 30, is subjected to a process reverse to the process in the transmitter 10. That is, the received data is demodulated by a demodulator 33, and is then decoded by an LDPC decoder 35, thereby finally restoring the information bits.
(14) It will be apparent to those skilled in the art that the above-described transmission and reception processes have been described within a minimum range required for a description of the features of the present invention and various processes required for data transmission may be added.
(15) In the following, the specific processes of encoding and decoding that are performed using an LDPC code in the LDPC encoder 13 or LDPC decoder 35 and the specific configurations of encoding and decoding devices, such as the LDPC encoder 13 and the LDPC decoder 35, are described. The LDPC encoder 13 illustrated in
(16)
(17) Referring to
(18) That is, at step S210, an n-bit codeword is generated by encoding k information bits using the LDPC encoder.
(19) In this case, step S210 may be performed as in an LDPC encoding method illustrated in
(20) Furthermore, in the broadcast signal transmission and reception method, the encoded data is modulated at step S220.
(21) That is, at step S220, the encoded n-bit codeword is modulated using the modulator.
(22) Furthermore, in the broadcast signal transmission and reception method, the modulated data is transmitted at step S230.
(23) That is, at step S230, the modulated codeword is transmitted over a wireless channel via the antenna.
(24) Furthermore, in the broadcast signal transmission and reception method, the received data is demodulated at step S240.
(25) That is, at step S240, the signal transmitted over the wireless channel is received via the antenna of the receiver, and the received data is demodulated using the demodulator.
(26) Furthermore, in the broadcast signal transmission and reception method, the demodulated data is subjected to LDPC decoding at step S250.
(27) That is, at step S250, the information bits are finally restored by performing LDPC decoding using the demodulator of the receiver.
(28) In this case, step S250 corresponds to a process reverse to that of the LDPC encoding method illustrated in
(29) An LDPC code is known as a code very close to the Shannon limit for an additive white Gaussian noise (AWGN) channel, and has the advantages of asymptotically excellent performance and parallelizable decoding compared to a turbo code.
(30) Generally, an LDPC code is defined by a low-density parity check matrix (PCM) that is randomly generated. However, a randomly generated LDPC code requires a large amount of memory to store a PCM, and requires a lot of time to access memory. In order to overcome these problems, a quasi-cyclic LDPC (QC-LDPC) code has been proposed. A QC-LDPC code that is composed of a zero matrix or a circulant permutation matrix (CPM) is defined by a PCM that is expressed by the following Equation 1:
(31)
(32) In this equation, J is a CPM having a size of L×L, and is given as the following Equation 2. In the following description, L may be 360.
(33)
(34) Furthermore, J.sup.i is obtained by shifting an L×L identity matrix I (J.sup.0) to the right i (0≤i<L) times, and J.sup.∞ is an L×L zero matrix. Accordingly, in the case of a QC-LDPC code, it is sufficient if only index exponent i is stored in order to store J.sup.i, and thus the amount of memory required to store a PCM is considerably reduced.
(35)
(36) Referring to
(37)
where I.sub.L×L is an identity matrix having a size of L×L.
(38) That is, the matrix B may be a bit-wise dual diagonal matrix, or may be a block-wise dual diagonal matrix having identity matrices as its blocks, as indicated by Equation 3. The bit-wise dual diagonal matrix is disclosed in detail in Korean Patent Application Publication No. 2007-0058438, etc.
(39) In particular, it will be apparent to those skilled in the art that when the matrix B is a bit-wise dual diagonal matrix, it is possible to perform conversion into a Quasi-cyclic form by applying row or column permutation to a PCM including the matrix B and having a structure illustrated in
(40) In this case, N is the length of a codeword, and K is the length of information.
(41) The present invention proposes a newly designed QC-LDPC code in which the code rate thereof is 3/15 and the length of a codeword is 16200, as illustrated in the following Table 1. That is, the present invention proposes an LDPC code that is designed to receive information having a length of 3240 and generate an LDPC codeword having a length of 16200.
(42) Table 1 illustrates the sizes of the matrices A, B, C, D and Z of the QC-LDPC code according to the present invention:
(43) TABLE-US-00002 TABLE 1 Sizes Code rate Length A B C D Z 3/15 16200 1080 × 3240 1080 × 1080 11880 × 4320 11880 × 11880 1080 × 11880
(44) The newly designed LDPC code may be represented in the form of a sequence (progression), an equivalent relationship is established between the sequence and matrix (parity bit check matrix), and the sequence may be represented, as follows:
(45) TABLE-US-00003 Sequence Table 1st row: 8 372 841 4522 5253 7430 8542 9822 10550 11896 11988 2nd row: 80 255 667 1511 3549 5239 5422 5497 7157 7854 11267 3rd row: 257 406 792 2916 3072 3214 3638 4090 8175 8892 9003 4th row: 80 150 346 1883 6838 7818 9482 10366 10514 11468 12341 5th row: 32 100 978 3493 6751 7787 8496 10170 10318 10451 12561 6th row: 504 803 856 2048 6775 7631 8110 8221 8371 9443 10990 7th row: 152 283 696 1164 4514 4649 7260 7370 11925 11986 12092 8th row: 127 1034 1044 1842 3184 3397 5931 7577 11898 12339 12689 9th row: 107 513 979 3934 4374 4658 7286 7809 8830 10804 10893 10th row: 2045 2499 7197 8887 9420 9922 10132 10540 10816 11876 11st row: 2932 6241 7136 7835 8541 9403 9817 11679 12377 12810 12nd row: 2211 2288 3937 4310 5952 6597 9692 10445 11064 11272
(46) An LDPC code that is represented in the form of a sequence is being widely used in the DVB standard.
(47) According to an embodiment of the present invention, an LDPC code presented in the form of a sequence is encoded, as follows. It is assumed that there is an information block S=(s.sub.0, s.sub.1, . . . , s.sub.K−1) having an information size K. The LDPC encoder generates a codeword Λ=(λ.sub.0, λ.sub.1, λ.sub.2, . . . , λ.sub.N−1) having a size of N=K+M.sub.1+M.sub.2 using the information block S having a size K. In this case, M.sub.1=g, and M.sub.2=N−K−g. Furthermore, M.sub.1 is the size of parity bits corresponding to the dual diagonal matrix B, and M.sub.2 is the size of parity bits corresponding to the identity matrix D. The encoding process is performed, as follows:
(48) Initialization:
λ.sub.i=s.sub.i for i=0,1, . . . ,K−1
p.sub.j=0 for j=0,1, . . . ,M.sub.1+M.sub.2−1 (4)
(49) First information bit λ.sub.0 is accumulated at parity bit addresses specified in the 1st row of the sequence of the Sequence Table. For example, in an LDPC code having a length of 16200 and a code rate of 3/15, an accumulation process is as follows:
(50) TABLE-US-00004 p.sub.8 = p.sub.8 ⊕ λ.sub.0 p.sub.372 = p.sub.372 ⊕ λ.sub.0 p.sub.841 = p.sub.841 ⊕ λ.sub.0 p.sub.4522 = p.sub.4522 ⊕ λ.sub.0 p.sub.5253 = p.sub.5253 ⊕ λ.sub.0 p.sub.7430 = p.sub.7430 ⊕ λ.sub.0 p.sub.8542 = p.sub.8542 ⊕ λ.sub.0 p.sub.9822 = p.sub.9822 ⊕ λ.sub.0 p.sub.10550 = p.sub.10550 ⊕ λ.sub.0 p.sub.
(51) The subsequent L−1 information bits, that is, λ.sub.m, m=1,2, . . . , L−1, are accumulated at parity bit addresses that are calculated by the following Equation 5:
(x+m×Q.sub.1) mod M.sub.1 if x<M.sub.1
M.sub.1+{(x−M.sub.1+m×Q.sub.2) mod M.sub.2} if x≥1 (5)
where x denotes the addresses of parity bits corresponding to the first information bit λ.sub.0, that is, the addresses of the parity bits specified in the first row of the sequence of the Sequence Table, Q.sub.1=M.sub.1/L, Q.sub.2=M.sub.2/L, and L=360. Furthermore, Q.sub.1 and Q.sub.2 are defined in the following Table 2. For example, for an LDPC code having a length of 16200 and a code rate of 3/15, M.sub.1=1080, Q.sub.1=3, M.sub.2=11880, Q.sub.2=33 and L=360, and the following operations are performed on the second bit λ.sub.1 using Equation 5:
(52) TABLE-US-00005 p.sub.11 = p.sub.11 ⊕ λ.sub.1 p.sub.375 = p.sub.375 ⊕ λ.sub.1 p.sub.844 = p.sub.844 ⊕ λ.sub.1 p.sub.4555 = p.sub.4555 ⊕ λ.sub.1 p.sub.5286 = p.sub.5286 ⊕ λ.sub.1 p.sub.7463 = p.sub.7463 ⊕ λ.sub.1 p.sub.8575 = p.sub.8575 ⊕ λ.sub.1 p.sub.9855 = p.sub.9855 ⊕ λ.sub.1 p.sub.10583 = p.sub.10583 ⊕ λ.sub.1 p.sub.11929 = p.sub.11929 ⊕ λ.sub.1 p.sub.12021 = p.sub.12021 ⊕ λ.sub.1
(53) Table 2 illustrates the sizes of M.sub.1, Q.sub.1, M.sub.2 and Q.sub.2 of the designed QC-LDPC code:
(54) TABLE-US-00006 TABLE 2 Sizes Code rate Length M.sub.1 M.sub.2 Q.sub.1 Q.sub.2 3/15 16200 1080 11880 3 33
(55) The addresses of parity bit accumulators for new 360 information bits from λ.sub.L to λ.sub.2L−1 are calculated and accumulated from Equation 5 using the second row of the sequence.
(56) In a similar manner, for all groups composed of new L information bits, the addresses of parity bit accumulators are calculated and accumulated from Equation 5 using new rows of the sequence.
(57) After all the information bits from λ.sub.0 to λ.sub.K−1 have been exhausted, the operations of the following Equation 6 are sequentially performed from i=1:
p.sub.i=p.sub.i⊕p.sub.i−1 for i=0,1, . . . ,M.sub.1−1 (6)
(58) Thereafter, when a parity interleaving operation, such as that of the following Equation 7, is performed, parity bits corresponding to the dual diagonal matrix B are generated:
λ.sub.K+L.Math.t+s=p.sub.Q.sub.
(59) When the parity bits corresponding to the dual diagonal matrix B have been generated using K information bits λ.sub.0, λ.sub.1, . . . , λ.sub.K−1, parity bits corresponding to the identity matrix D are generated using the M.sub.1 generated parity bits λ.sub.K, λ.sub.K+1, . . . , λ.sub.K+M.sub.
(60) For all groups composed of L information bits from λ.sub.K to λ.sub.K+M.sub.
(61) When a parity interleaving operation, such as that of the following Equation 8, is performed after all the information bits from λ.sub.K to λ.sub.K+M.sub.
λ.sub.K+M.sub.
(62)
(63) Referring to
(64) The memory 310 is memory that is used to store an LDPC codeword having a length of 16200 and a code rate of 3/15.
(65) The memory 320 is memory that is initialized to 0.
(66) The memory 310 and the memory 320 may correspond to λ.sub.i (i=0,1, . . . , N−1) and p.sub.j (j=0,1, . . . , M.sub.1+M.sub.2−1), respectively.
(67) The memory 310 and the memory 320 may correspond to various types of hardware for storing sets of bits, and may correspond to data structures, such as an array, a list, a stack and a queue.
(68) The processor 330 generates an LDPC codeword corresponding to information bits by performing accumulation with respect to the memory 320 using a sequence corresponding to a PCM.
(69) In this case, the accumulation may be performed at parity bit addresses that are updated using the sequence of the above Sequence Table.
(70) In this case, the LDPC codeword may include a systematic part λ.sub.0, λ.sub.1, . . . , λ.sub.K−1 corresponding to the information bits and having a length of 3240 (=K), a first parity part λ.sub.K, λ.sub.K+1, . . . , λ.sub.K+M.sub.
(71) In this case, the sequence may have a number of rows equal to the sum (3240/360+1080/360=12) of a value obtained by dividing the length of the systematic part, that is, 3240, by a CPM size L corresponding to the PCM, that is, 360, and a value obtained by dividing the length M.sub.1 of the first parity part, that is, 1080, by 360.
(72) As described above, the sequence may be represented by the above Sequence Table.
(73) In this case, the memory 320 may have a size corresponding to the sum M.sub.1+M.sub.2 of the length M.sub.1 of the first parity part and the length M.sub.2 of the second parity part.
(74) In this case, the parity bit addresses may be updated based on the results of comparing each x of the previous parity bit addresses specified in respective rows of the sequence with the length M.sub.1 of the first parity part.
(75) That is, the parity bit addresses may be updated using Equation 5. In this case, x may be the previous parity bit addresses, m may be an information bit index that is an integer larger than 0 and smaller than L, L may be the CPM size of the PCM, Q.sub.1 may be M.sub.1/L, M.sub.1 may be the size of the first parity part, Q.sub.2 may be M.sub.2/L, and M.sub.2 may be the size of the second parity part.
(76) In this case, it may be possible to perform the accumulation while repeatedly changing the rows of the sequence by the CPM size L (=360) of the PCM, as described above.
(77) In this case, the first parity part λ.sub.K, λ.sub.K+1, . . . , λ.sub.K+M.sub.
(78) In this case, the second parity part λ.sub.K+M.sub.
(79)
(80) Referring to
(81) The receiving unit 410 receives an LDPC codeword that has been encoded using a sequence that corresponds to a PCM and is represented by the above Sequence Table.
(82) The decoding unit 420 restores information bits from the received LDPC codeword by performing decoding corresponding to the PCM.
(83) In this case, the sequence may be used to update the parity bit addresses of the memory, and the parity bit addresses are used for accumulation that is performed to generate parity bits corresponding to the LDPC codeword.
(84) In this case, the LDPC codeword may include a systematic part λ.sub.0, λ.sub.1, . . . , λ.sub.K−1 corresponding to the information bits, a first parity part λ.sub.K, λ.sub.K+1, . . . , λ.sub.K+M.sub.
(85) In this case, the parity bit addresses may be updated based on the results of comparing each x of the previous parity bit addresses specified in respective rows of the sequence with the length M.sub.1 of the first parity part.
(86) That is, the parity bit addresses may be updated using Equation 5. In this case, x may be the previous parity bit addresses, m may be an information bit index that is an integer larger than 0 and smaller than L, L may be the CPM size of the PCM, Q.sub.1 may be M.sub.1/L, M.sub.1 may be the size of the first parity part, Q.sub.2 may be M.sub.2/L, and M.sub.2 may be the size of the second parity part.
(87)
(88) Referring to
(89) In this case, step S510 may be performed using Equation 4.
(90) Furthermore, in the LDPC encoding method according to this embodiment of the present invention, an LDPC codeword corresponding to information bits is generated by performing accumulation with respect to the second memory using a sequence corresponding to a PCM at step S520.
(91) In this case, the accumulation may be performed at parity bit addresses that are updated using the sequence corresponding to the PCM.
(92) In this case, the LDPC codeword may include a systematic part λ.sub.0, λ.sub.1, . . . , λ.sub.K−1 corresponding to the information bits and having a length of 3240 (=K), a first parity part λ.sub.K, λ.sub.K+1, . . . , λ.sub.K+M.sub.
(93) In this case, the sequence may have a number of rows equal to the sum (3240/360+1080/360=12) of a value obtained by dividing the length of the systematic part, that is, 3240, by a CPM size L corresponding to the PCM, that is, 360, and a value obtained by dividing the length M.sub.1 of the first parity part, that is, 1080, by 360.
(94) As described above, the sequence may be represented by the above Sequence Table.
(95) In this case, the parity bit addresses may be updated based on the results of comparing each x of the previous parity bit addresses specified in respective rows of the sequence with the length M.sub.1 of the first parity part.
(96) That is, the parity bit addresses may be updated using Equation 5. In this case, x may be the previous parity bit addresses, m may be an information bit index that is an integer larger than 0 and smaller than L, L may be the CPM size of the PCM, Q.sub.1 may be M.sub.1/L, M.sub.1 may be the size of the first parity part, Q.sub.2 may be M.sub.2/L, and M.sub.2 may be the size of the second parity part.
(97) In this case, it may be possible to perform the accumulation while repeatedly changing the rows of the sequence by the CPM size L (=360) of the PCM, as described above.
(98) In this case, the first parity part λ.sub.K, λ.sub.K+1, . . . , λ.sub.K+M.sub.
(99) In this case, the second parity part λ.sub.K+M.sub.
(100)
(101) The graph illustrated in
(102) At least one embodiment of the present invention has the advantage of providing a new LDPC codeword having a length of 16200 and a code rate of 3/15, which is capable of being used for general purposes.
(103) At least one embodiment of the present invention has the advantage of providing an LDPC encoding technique that is capable of efficiently performing LDPC encoding using a sequence having a number of rows equal to a value that is obtained by dividing the sum of the length of the systematic part of an LDPC codeword, that is, 3240, and the length of the first parity part of the LDPC codeword, that is, 1080, by 360.
(104) Although the specific embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible without departing from the scope and spirit of the invention as disclosed in the accompanying claims.