摘要
基于最大似然估计(ML),提出了一种新的联合译码的迭代信道估计算法。该算法利用比特交织编码调制(BICM)中迭代译码的硬判决信息,进行信道估计与译码之间的信息交换。在基于BICM的OFDM系统(BICM-OFDM)中,在短波宽带信道下的仿真结果表明,经过4次迭代,系统的误码率性能收敛。与传统ML算法相比,算法可有效的提高估计精度。
A novel iterative channel estimation algorithm based on Maximum-Likelihood （ML） estimation was proposed, which associated with the decoder. Using the hard-decision information provided by the decoder of bit-interleaved coded modulation （BICM）, the proposed algorithm exchanged the information between the channel estimator and the decoder. In BICM-OFDM systems, the simulation results show that the BER performance can converge after four iterations under the wideband HF channel. Compared with the conventional ML algorithm, the proposed algorithm efficiently improves the estimation accuracy.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第1期143-146,共4页
Journal of System Simulation
