采用独立分量分析的共道干扰消除

doi:10.13190/jbupt.201005.103.yaojl

北京邮电大学学报 ›› 2010, Vol. 33 ›› Issue (5): 103-107.doi: 10.13190/jbupt.201005.103.yaojl

采用独立分量分析的共道干扰消除

姚俊良¹,杨小牛²,李建东¹,李钊¹

1西安电子科技大学综合业务网理论及关键技术国家重点实验室； 2中国电子科技集团公司第三十六研究所

收稿日期:2009-09-15 修回日期:2010-04-30 出版日期:2010-08-28 发布日期:2010-06-15
通讯作者: 姚俊良 E-mail:yaojunliang1@163.com
基金资助:
国家杰出青年科学基金(60725105)；国家重点基础研究发展计划（973计划）课题（2009CB320404）；“长江学者和创新团队发展计划资助(编号：IRT0852，研究方向：宽带无线通信)”;国家级.国家自然科学基金项目

CoChannel Interference Cancellation Method Based on ICA

Received:2009-09-15 Revised:2010-04-30 Online:2010-08-28 Published:2010-06-15

摘要/Abstract

摘要：

为了消除共道干扰，在接收端利用多天线提供空间复用是一种有效手段. 传统的接收算法必须预先获得准确的信道状态信息(CSI)，在很多实际情况下很难满足. 为此提出一种基于独立分量分析(ICA)的干扰消除新算法，该算法不需要估计CSI，仅利用接收信号和通信协议固有的已知信息即可提取出期望信号. 实验结果表明，所提算法的期望信号信干噪比（SINR）性能与最优线性接收算法非常接近，差距小于01dB.

关键词: 盲源分离, 独立分量分析, 干扰消除, 峭度

Abstract:

To eliminate cochannel interference, multiple antennas are generally used at receiver to provide spatial multiplexing. Because the traditional methods for receiver need precise channel state information (CSI), a new interference cancellation method based on independent component analysis (ICA) is proposed. The desired signal is extracted according to the received signals and a few known information of communication protocol, hence the CSI is not necessary. Simulations show that the proposed method is approximate to the best linear receiver in terms of signaltointerferenceandnoiseratio (SINR), the difference is less than 01dB.

姚俊良,杨小牛,李建东,李钊. 采用独立分量分析的共道干扰消除[J]. 北京邮电大学学报, 2010, 33(5): 103-107.

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采用独立分量分析的共道干扰消除

CoChannel Interference Cancellation Method Based on ICA

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