Min-zone selection decoding algorithm for LDPC codes

An iterative decoding algorithm for low-density parity-check(LDPC) codes,named min-zone selection(MZS) decoding algorithm,was proposed.The methods of min-zone selecting and approximation were combined in the proposed decoding algorithm in order to deal with the Q(x) function involved in the traditional belief propagation(BP) decoding algorithm.Simulation results show shat the computations in the decoding process of LDPC codes incurred only a little performance degradation.In fact,it is observed that,with proper selection of parameters,the MZS decoding algorithm can provide performance comparable to that of the BP decoding algorithm.