A precise Approach for Computing Channel Soft Information
LDPC (Low-Density Parity-Check) codes have a good performance close to the Shannon limit. To make full error-correcting performance, soft information is used in iterative decoding algorithm. For different types of modulation, there are different expressions of channel soft information. In this paper, we propose approaches for computing channel soft information precisely for BPSK, QPSK, 16QAM, instead of approximation. Taking the example of CMMB standard, simulation of channel coding with channel soft information is done.
channel soft information CMMB LDPC
BeiBei Qian Dongping Yao Lei Xiong
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University Beijing, 100044, China School of Electronics and Information Engineering, Beijing Jiaotong University Beijing, 100044, China
国际会议
北京
英文
551-554
2009-10-27(万方平台首次上网日期,不代表论文的发表时间)