| 采用独立分量分析的共道干扰消除 |
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| 引用本文： | 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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| 作者姓名： | 姚俊良 杨小牛 李建东 李钊 |
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| 作者单位： | 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,西安,710071;中国电子科技集团公司,第三十六研究所,浙江,嘉兴,314001 |
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| 基金项目： | 国家杰出青年科学基金项目(60725105); 国家重点基础研究发展计划项目(2009CB320404); 长江学者和创新团队发展计划项目(IRT0852); 国家自然科学基金项目(60902032,60902033); 国家重点实验室专项基金项目(ISN01080301,ISN02080001); 高等学校创新引智计划项目(B08038); 教育部科学技术研究重点项目(107103) |
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| 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01dB.
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| 关 键 词： | 盲源分离 独立分量分析 干扰消除 峭度 |
| 收稿时间： | 2009-09-15 |
Co-Channel Interference Cancellation Method Based on ICA |
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| YAO Jun-liang,YANG Xiao-niu,LI Jian-dong,LI Zhao.Co-Channel Interference Cancellation Method Based on ICA[J].Journal of Beijing University of Posts and Telecommunications,2010,33(5):103-107. |
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| Authors: | YAO Jun-liang YANG Xiao-niu LI Jian-dong LI Zhao |
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| Affiliation: | YAO Jun-liang1,YANG Xiao-niu2,LI Jian-dong1,LI Zhao1 ( 1. State Key Laboratory of Integrated Services Networks,Xidian University,Xi'an 710071,China,2. No. 36 Research Institute,China Electronics Technology Group Corporation,Zhejiang Jiaxing 314001,China) |
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| 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 approxi... |
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| Keywords: | blind source separation independent component analysis interference cancellation kurtosis |
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