DIRECTION FINDING ALGORITHMS BASED ON HIGH-ORDER STATISTICS

被引：213
|
作者：
PORAT, B
FRIEDLANDER, B
机构：
[1] SIGNAL PROC TECHNOL LTD,PALO ALTO,CA 94303
[2] UNIV CALIF DAVIS,DAVIS,CA 95616
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1991年 / 39卷 / 09期
关键词：
D O I：
10.1109/78.134434
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：
Direction finding techniques are usually based on the second-order statistics of the received data. In this paper we derive two types of direction finding algorithms which use the fourth-order cumulants of the array data. One is a MUSIC-like technique based on eigendecomposition of a suitably defined cumulant matrix. The other is an optimal (minimum variance) estimator based on minimization of a certain cost function. The algorithms are derived and their performance is illustrated by numerical examples. Formulas are derived for the asymptotic performance of the optimal algorithm.
引用
收藏
页码：2016 / 2024
页数：9
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