NDLI: An analysis of weighted eigenspace methods in the presence of sensor errors

Content Provider	IEEE Xplore Digital Library
Author	Hamza, R. Buckley, K.
Copyright Year	1991
Abstract	Among all direction finding methods, eigenspace-based spectral methods are of interest because they are known to yield asymptotically unbiased and efficient estimates. These algorithms require knowledge of the array geometry and its elements' characteristics. In real systems, only approximate knowledge of the required array characterization is available. There is valid concern that deviation of nominal sensor gain and phase values can result in degradation of DOA estimates. We analyze the effects of sensor gain and phase perturbation on weighted eigenspace methods (WEMs). We quantify the sensitivity of WEMs by first- and second-order statistical analyses. Simulation results are included to validate our analytical results.<>
Sponsorship	IEEE Signal Processing Society
Starting Page	1140
Ending Page	1150
Page Count	11
File Size	975684
File Format	PDF
ISSN	1053587X
Volume Number	43
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Direction of arrival estimation Sensor phenomena and characterization Multiple signal classification Sensor arrays Analysis of variance Geometry Degradation Phased arrays Performance analysis Sampling methods
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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Sensitivity analysis under model perturbation for weighted eigenspace methods

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Capability of minimum variance beamformer for direction finding for fast perturbations of array sensors

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Fast DOA estimation with ULA in the presence of sensor gain and phase errors

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An analysis of weighted eigenspace methods in the presence of sensor errors

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