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BICM-OFDM中基于ML算法的迭代信道估计
引用本文:禹永植,毕文斌,张兴周.BICM-OFDM中基于ML算法的迭代信道估计[J].系统仿真学报,2008,20(1):143-146.
作者姓名:禹永植  毕文斌  张兴周
作者单位:1. 哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001
2. 中船重工七院,北京,100085
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。

关 键 词:BICM-OFDM  信道估计  最大似然估计  迭代
文章编号:1004-731X(2008)01-0143-04
收稿时间:2007-05-24
修稿时间:2007-08-07

Iterative Channel Estimation Based on ML Algorithm for BICM-OFDM
YU Yong-zhi,BI Wen-bin,ZHANG Xing-zhou.Iterative Channel Estimation Based on ML Algorithm for BICM-OFDM[J].Journal of System Simulation,2008,20(1):143-146.
Authors:YU Yong-zhi  BI Wen-bin  ZHANG Xing-zhou
Abstract: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.
Keywords:BICM-OFDM  channel estimation  Maximum-Likelihood estimation  iteration
本文献已被 CNKI 维普 万方数据 等数据库收录!
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