Nonparametric statistics for DOA estimation in the presence of multipath

被引：3

作者：

Visuri, S ^{[1
]}

Oja, H ^{[1
]}

Koivunen, V ^{[1
]}

机构：

[1] Helsinki Univ Technol, Signal Proc Lab, FIN-02015 Helsinki, Finland

来源：

SAM 2000: PROCEEDINGS OF THE 2000 IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP | 2000年

关键词：

D O I：

10.1109/SAM.2000.878029

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is concerned with array signal processing in non-Gaussian noise and in the presence of multipath. Robust and fully nonparametric high resolution algorithms for Direction of Arrival (DOA) estimation are presented. The algorithms are based on multivariate spatial sign and rank concepts. Spatial smoothing of the multivariate rank and sign based covariance matrices is employed as a preprocessing step in order to deal with coherent sources. The performance of the algorithms is studied using simulations. The results show that almost optimal performance is obtained in wide variety of different noise conditions.

引用

页码：356 / 360

页数：5

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