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降秩盲自适应FRESH滤波器的研究
引用本文:胡锦泉,欧阳缮,谢跃雷. 降秩盲自适应FRESH滤波器的研究[J]. 信号处理, 2005, 21(4): 413-416
作者姓名:胡锦泉  欧阳缮  谢跃雷
作者单位:桂林电子工业学院通信与信息工程系,广西桂林,541004
基金项目:国家自然科学基金(60272011)广西科学基金(桂科基0448073)资助
摘    要:提出了基于最小均方误差准则(MMSE)的盲自适应FRESH滤波器;给出了基于互谱准则(CSP)、主分量分析(PCA)和多级维纳滤波器(MSWF)等方法的降秩处理,并对不同的方法进行了性能比较。计算机仿真结果表明,这种降秩盲FRESH滤波器能够有效地分离或提取谱重叠信号。

关 键 词:频率移位(FRESH)滤波器  降秩滤波  最小均方误差  盲信号提取
修稿时间:2004-04-05

Reduced-Rank Blind Adaptive FRESH Filtering
Hu Jinquan,Ou yangShan,Xie Yuelei. Reduced-Rank Blind Adaptive FRESH Filtering[J]. Signal Processing(China), 2005, 21(4): 413-416
Authors:Hu Jinquan  Ou yangShan  Xie Yuelei
Abstract:A blind adaptive frequency-shift (BA-FRESH) filter is proposed in the means of MMSE. The reduced-rank implementation of the BA-FRESH filter is then presented based on cross-spectral (CSP) metric, principal component analysis (PCA), and multistage Wiener filter (MSWF). The performance of the reduced-rank BA-FRESH filter is outlined by computer simulation. The reduced-rank BA-FRESH filter not only has a lower computational complexity, but is also more efficient in signal extraction as compared to the conventional BA-FRESH filter.
Keywords:frequency-shift (FRESH) filter  reduced-rank filtering  MMSE  blind signal extraction  
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