Blind Identification of LDPC Codes Based on Decoding
Weinian Wang, Hua Feng Peng, Lei Ji · 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) · 2017
A strong fault tolerance algorithm is proposed for blind identification of LDPC codes to solve the problem that the parity-check matrix of LDPC codes is hard to be reconstructed. First, the codes are arranged by reliability to construct data matrix and part of the parity-check vectors can be obtained by using Gaussian-Jordan column elimination operation. Then, codes with errors need to be eliminated and some codes need to be replaced to obtain most of the parity-check vectors. Finally, by using the parity-check vectors, some codes with high reliability can be decoded to obtain all parity-check vectors with the repetition of previous procedures. Compared with the existing blind recognition algorithms, the proposed method can implement blind identification of LDPC codes under the higher BER, which has a relatively low complexity and can be better applied to the actual environment. In the simulation experiments which mainly use (576,288) LDPC codes, the recognition rate of this method is above 90% under BER 0.00235.