DocumentCode
904486
Title
Instrumental variable adaptive array processing
Author
Moses, Randolph L. ; Beex, A. A Louis
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Volume
24
Issue
2
fYear
1988
fDate
3/1/1988 12:00:00 AM
Firstpage
192
Lastpage
202
Abstract
An instrumental variable (IV) approach is presented for estimating the weights of an adaptive antenna array. Theoretical analysis of the IV method shows that the antenna gain weights are independent of finitely correlated noise, so that unbiased estimation of signal arrival angles is possible. Only matrix inversions are required to compute the weight estimates. In this sense, the IV method provides performance comparable with eigenvector techniques but with lower computational burden. Both minimal and overdetermined IV estimators are derived. The overdetermined estimators give the same theoretical array weights as minimal estimators, but yield more accurate weight estimates in real data situations. Simulation results are presented to compare these IV methods with one another and with conventional matrix inversion weight estimators. In these examples it is seen that IV methods are able to resolve closely spaced interference sources when conventional matrix inversion techniques cannot. It is also shown that overdetermined methods are capable of providing weight estimates with lower variances than those of minimal methods
Keywords
antenna phased arrays; antenna theory; interference (signal); signal detection; signal processing; adaptive antenna array; closely spaced interference sources; finitely correlated noise; instrumental variable processing; minimal estimators; overdetermined estimators; signal processing; unbiased estimation; weight estimates; Adaptive arrays; Antenna arrays; Array signal processing; Covariance matrix; Instruments; Interference; Radar antennas; Signal processing algorithms; Signal to noise ratio; Yield estimation;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.1053
Filename
1053
Link To Document