Detection-estimation of more uncorrelated Gaussian sources than sensors in nonuniform linear antenna arrays - Part III: Detection-estimation nonidentifiability

被引：10
|
作者：
Abramovich, YI [1 ]
Spencer, NK
Gorokhov, AY
机构：
[1] Def Sci & Technol Org, Intelligence Surveillance & Reconnaissance Div, Adelaide, SA, Australia
[2] Cooperat Res Ctr Sensor Signal & Informat Proc, Adelaide, SA, Australia
[3] Philips Res Labs, Ubiquitous Commun Syst Grp, Eindhoven, Netherlands
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2003年 / 51卷 / 10期
关键词：
antenna arrays; array signal processing; linear arrays; nonuniformly spaced arrays; signal detection;
D O I：
10.1109/TSP.2003.816859
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：
We investigate nonidentifiability conditions for the detection-estimation problem with multiple uncorrelated plane waves incident upon a nonuniform (sparse) linear antenna array. Specifically, we define conditions under which a given Hermitian covariance matrix has a nonunique (multiple) decomposition into an admissible number of dyads weighted by the source powers and a white-noise identity matrix. Our method is based on the Proukakis-Manikas technique of generating ambiguity generator gets (AGSs) and allows ambiguous sets of sources associated with a given sparse antenna geometry to be determined.
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页码：2483 / 2494
页数：12
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