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基于SOS的盲FIR信道辨识方法的性能分析
引用本文:代凌云,王娟. 基于SOS的盲FIR信道辨识方法的性能分析[J]. 通信技术, 2010, 43(2): 7-9
作者姓名:代凌云  王娟
作者单位:曲阜师范大学,信息技术传播学院,山东,日照,276826
摘    要:近年来,统计信号处理已经成为无线通信的发展中的一项关键技术。针对双输入双输出情况下,交叉信号混叠的信道的盲辨识问题介绍了一种分析解法,数学工具是二阶统计,针对这种方法,对它作了性能分析,仿真结果表明这种结果可以较好的辨识混叠滤波器,具有较强的鲁棒性;并用维纳滤波的方法恢复出了原始语音信号,证明这种方法也适用于非平稳信号的情况。

关 键 词:盲信道辨识  二阶统计  鲁棒性

Blind FIR Channel Identification Based on Second Order Statistics
DAI Ling-yun,WANG Juan. Blind FIR Channel Identification Based on Second Order Statistics[J]. Communications Technology, 2010, 43(2): 7-9
Authors:DAI Ling-yun  WANG Juan
Affiliation:(School of Information Technology and Broadcasting, Qufu Teather’s University, Rizhao Shandong 276826, China)
Abstract:A special case of MIMO system, i.e., a 2 × 2 system case is considered, which is recently addressed in much reseach work using frequency-domain correlations of the system output. In this paper, the two-input-two-output(TITO) blind crosswise mixture identification based on eigenvalue decomposition of second-order spectra correlations is described first, and then the robustness of method analyzed. The simulation result proves the perfect performance of this algorithm.
Keywords:blind channel identification  second-order statistics  robustness  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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