ON ESTIMATING THE NOISE POWER IN ARRAY-PROCESSING

被引：26

作者：

STOICA, P

SODERSTROM, T

SIMONYTE, V

机构：

[1] Automatic Control Department, Bucharest Polytechnic Institute, R-77206 Bucharest

[2] Automatic Control and Systems Analysis Group, Department of Technology, Uppsala University, S-751 03 Uppsala

[3] Institute of Mathematics and Informatics, Lithuanian Academy of Sciences, 232600 Vilnius

来源：

SIGNAL PROCESSING | 1992年 / 26卷 / 02期

关键词：

SENSOR ARRAYS; SOURCE LOCATION; NOISE POWER ESTIMATION; ASYMPTOTICAL STATISTICAL ANALYSIS; CRAMER-RAO BOUND; MONTE-CARLO SIMULATION;

D O I：

10.1016/0165-1684(92)90131-F

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper analyses two methods for estimating the power of sensor noise in array processing: the so-called 'eigenvalue method' and (the generalization of) a 'linear method' recently proposed in the literature. The eigenvalue method is proved to be statistically efficient. The linear method is shown to be more efficient than the eigenvalue method from the computational standpoint, but less efficient statistically. As the number of sensors in the array increases, the computational advantage of the linear method increases, but its statistical efficiency decreases. Some applications of the noise power estimates considered in this paper are also discussed. In particular, it is shown that the 'linear method' can be utilized as a first step in a procedure for source location, based on linear operations only.

引用

页码：205 / 220

页数：16

共 18 条

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