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Two-Way Normalization of Min-Sum Decoding Algorithm for Medium and Short Length Low Density Parity Check Codes

This paper proposes a new technique to improve bit error performance of the min-sum decoding algorithm for low density parity check codes. The proposed technique is based on two way normalization of min-sum LDPC decoding algorithm. The variable message is modified by two normalization factors to achieve the optimum approximation for the magnitude overestimation at the check node processing. This new method does not need exhaustive search for the optimum normalization factor when there is a change in code length and code rate. The performance has been evaluated for medium and short length codes using a small number of iterations. The results show improved performance of the proposed method, which makes it attractive for many practical applications.