Adaptive SNR Turbo Decoding Algorithm and Stop Criterion
The sensitivity of the iterative maximum a posteriori probability (MAP) decoder to the initial channel values is investigated and a simple adaptive signal-to-noise (SNR) algorithm operating within the delta variances from two MAP decoders is proposed. In this paper, the exact SNR values estimated from the turbo decoders are considered. It can bring the initialization of channel values towards optimization. Therefore, we may improve the BER by about 0.3 dB with a simple additional lookup table from the conventional BCJR decoder. Furthermore, since the closest SNR values are estimated, the proposed algorithm can be exploited to efficient make stop criterion for reducing the delay and computation time.
turbo codes SNR stop criterion
Jia Hou Moon Ho Lee Ju Yong Park
Institute of Information & Communication Chonbuk National University, Chonju, 561-756, Korea Dept.of Electronic Engineering, Seonam University, 590-711, Korea
国际会议
成都
英文
893-895
2003-08-27（万方平台首次上网日期，不代表论文的发表时间）