Linear programming and minimum sum cascading decoding method for LDPC (low-density parity-check) code
An LDPC code and linear programming technology, which is applied in the direction of error correction/detection using block codes, error detection coding using multiple parity bits, data representation error detection/correction, etc., can solve the problem of unsatisfactory overall decoding performance And other issues
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Embodiment 1
[0036] A linear programming and minimum sum concatenated decoding method for LDPC codes, such as figure 2 As shown, the steps are as follows:
[0037] 1) The channel SNR estimator estimates the SNR information of the channel;
[0038] 2) The cascade device selects the corresponding cascade factor from the cascade factor memory according to the signal-to-noise ratio information and temporarily stores it in the register;
[0039] 3) The initial input likelihood ratio information gets the optimal solution through the linear programming decoder
[0040] Let C be a check matrix with m×n dimensions H={h j,i}'s n-length binary LDPC code, I and J respectively represent the set of its variable nodes and the set of check nodes, wherein, I={1,2,...,n}, J={1,2 ,..., m}; N(j) represents the set of variable nodes connected to check node j, that is, N(j)={i:i∈I,h i,j =1}; V represents a subset of N(j) with an odd number of elements; C j Indicates the local code of the jth check node, t...
Embodiment 2
[0060] The decoding system used in the above decoding method, such as figure 1 As shown, it includes a linear programming decoder 1, a cascade 2, a register 4, a signal-to-noise ratio estimator 3, a minimum sum decoder 6 and a cascade factor memory 5, and is characterized in that the linear programming decoder 1 and the stage The cascade 2 is connected to the register 4, the signal-to-noise ratio estimator 3, the minimum sum decoder 6 and the cascade factor memory 5 respectively; the initial likelihood ratio information is input into the linear programming decoder 1 And concatenator 2, after preliminary decoding by linear programming decoder 1, concatenator 2 modifies the initial likelihood ratio information according to the preliminary decoding result and transmits the revised likelihood ratio information to the minimum sum decoder The decoder 6 outputs the decoded information after being decoded by the minimum sum decoder 6.
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