On implementation of min-sum algorithm for decoding low-density parity-check (LDPC) codes
This paper is concerned with the implementation issues of the so-called min-sum algorithm (also referred to as max-sum or max-product) for the decoding of low-density parity-check (LDPC) codes. The effects of clipping threshold and the number of quantization bits on the performance of min-sum algorithm at short and intermediate block lengths are studied. It is shown that min-sum is robust against quantization effects, and in many cases, only four quantization bits suffices to obtain close to ideal performance. We also propose modifications to min-sum algorithm that improve the performance by a few tenths of a dB with just a small increase in decoding complexity.
|GLOBECOM'02 - IEEE Global Telecommunications Conference|
|Organisation||Department of Systems and Computer Engineering|
Zarkeshvari, F. (Farhad), & Banihashemi, A. (2002). On implementation of min-sum algorithm for decoding low-density parity-check (LDPC) codes. In Conference Record / IEEE Global Telecommunications Conference (pp. 1349–1353).