会议专题

An Improved Normalized BP Based Decoding Algorithm for LDPC Codes

A uniformly most powerful (UMP) belief propagation (BP) based algorithm is referred to as a simplified version of a BP algorithm with reduced complexity but performance loss for low density parity check (LDPC) codes. To compensate the performance loss, the normalized BP based algorithm was proposed, where the normalization factor was derived by mean ratio or by minimizing the mean square error. In this paper, an improved novel normalized BP based algorithm is proposed. The normalization uses multiplicative factor instead of divisional factor. The novel scheme shows better performance than the existing normalized BP based algorithms while keeping the same implementation complexity. The simulation is done for two kinds of LDPC codes: random constructed codes and finite geometry codes. At high signal-to-noise ratio (SNR) region, the proposed scheme can achieve even better performance than BP algorithm for short length random constructed LDPC codes.

LDPC codes BP algorithm Normalized BP.

Haigang Zhang Dongfeng Yuan Cheng-Xiang Wang

School of Information Science and Engineering,Shandong University,Jinan,Shandong,250100,P.R.China. Joint Research Institute for Signal and Image Processing,School of Engineering & Physical Sciences,H

国际会议

The IET 2nd International Conference on Wireless,Mobile & Multimedia Networks(第二届IET国际无线移动多媒体网络会议)

北京

英文

2008-10-12(万方平台首次上网日期,不代表论文的发表时间)