ANALYSIS OF MIN-NORM AND MUSIC WITH ARBITRARY ARRAY GEOMETRY

被引：57

作者：

FU, L

VACCARO, RJ

机构：

[1] Dep't. of Electrical Engineering, University of Rhode Island, Kingston

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1990年 / 26卷 / 06期

关键词：

D O I：

10.1109/7.62249

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

A new, nonasymptotic performance comparison between the Min-Norm and MUSIC algorithms is presented for estimating the directions of arrival of narrowband plane waves impinging on an array of sensors. The analysis is based on a finite amount of sensor data, unlike many previous asymptotic analyses. The analysis presented here makes the assumption of high signal-to-noise ratio (SNR), and it applies to arrays of arbitrary geometry. It is shown that Min-Norm can be expressed as a certain data-dependent weighted MUSIC algorithm, and this relationship allows a unified performance comparison. It is also shown that the variances of the estimated directions-of-arrival from the MUSIC algorithm are always smaller than those of the Min-Norm algorithm at high SNR when both algorithms employ a numerical search procedure to obtain the estimates. © 1990 IEEE

引用

页码：976 / 985

页数：10

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