非圆信号盲波束形成

徐友根; 刘志文

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Blind Beamforming for Noncircular Signals

首发时间：2008-11-05

Xu Yougen ¹ Liu Zhiwen ¹

1、Beijing Institute of Technology

Abstract：Blind beamforming for extracting noncircular signals without a prior knowledge on the desired steering vector is considered in this paper. Three second-order statistic based blind schemes, termed as subspace decomposition, self-reference, and extraction power maximization methods, respectively, are proposed to extract one desired noncircular signal from a number of statistically independent circular interferences in the presence of circular Gaussian noise with arbitrary and unknown correlation structure. Two joint second- and fourth-order cumulant based methods are also developed for the case of multiple noncircular interferences. One is ESPRIT (estimation of signal parameters via rotational invariance techniques) type method. The other represents a real-valued extension of the WL-MVDR (widely linear minimum variance distortionless response). Numerical examples are shown to illustrate the performance of the proposed methods. The latest version of this online-only showing has also been submitted to IET Signal Processing.

keywords： Array signal processing adaptive arrays noncircular signals blind beamforming

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非圆信号盲波束形成

徐友根 ¹ 刘志文 ¹

1、北京理工大学

摘要：Blind beamforming for extracting noncircular signals without a prior knowledge on the desired steering vector is considered in this paper. Three second-order statistic based blind schemes, termed as subspace decomposition, self-reference, and extraction power maximization methods, respectively, are proposed to extract one desired noncircular signal from a number of statistically independent circular interferences in the presence of circular Gaussian noise with arbitrary and unknown correlation structure. Two joint second- and fourth-order cumulant based methods are also developed for the case of multiple noncircular interferences. One is ESPRIT (estimation of signal parameters via rotational invariance techniques) type method. The other represents a real-valued extension of the WL-MVDR (widely linear minimum variance distortionless response). Numerical examples are shown to illustrate the performance of the proposed methods. The latest version of this online-only showing has also been submitted to IET Signal Processing.

关键词：阵列信号处理波束形成自适应阵列

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1. 国家自然科学基金（60602037）

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Xu Yougen,Liu Zhiwen . Blind Beamforming for Noncircular Signals[EB/OL]. Beijing:Sciencepaper Online[2008-11-05]. https://www.paper.edu.cn/releasepaper/content/200811-128.

No.2545372008122588****

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论文编号	200811-128
论文题目	非圆信号盲波束形成
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