SENSITIVITY ANALYSIS OF DOA ESTIMATION ALGORITHMS TO SENSOR ERRORS

被引：45

作者：

LI, F ^{[1
]}

VACCARO, RJ ^{[1
]}

机构：

[1] UNIV RHODE ISL, DEPT ELECT ENGN, KINGSTON, RI 02881 USA

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1992年 / 28卷 / 03期

关键词：

D O I：

10.1109/7.256292

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

A unified statistical performance analysis using subspace perturbation expansions is applied to subspace-based algorithms for direction-of-arrival (DOA) estimation in the presence of sensor errors. In particular, the multiple signal classification (MUSIC), min-norm, state-space realization (TAM and DDA) and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithms are analyzed. This analysis assumes that only a finite amount of data is available. An analytical expression for the mean-squared error of the DOA estimates is developed for theoretical comparison in a simple and self-contained fashion. The tractable formulas provide insight into the algorithms. Simulation results verify the analysis.

引用

页码：708 / 717

页数：10

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