Adaptive measurement matrix design for compressed DoA estimation with sensor arrays

Date
2015
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Source Title
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, IEEE 2015
Print ISSN
1058-6393
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Publisher
IEEE
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Pages
1769 - 1773
Language
English
Type
Conference Paper
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Abstract

In this work we consider the problem of measurement matrix design for compressed 3-D Direction of Arrival (DoA) estimation using a sensor array with analog combiner. Since generic measurement matrix designs often do not yield optimal estimation performance, we propose a novel design technique based on the minimization of the Cramér-Rao Lower Bound (CRLB). We develop specific approaches for adaptive measurement design for two applications: detection of the newly appearing targets and tracking of the previously detected targets. Numerical results suggest that the developed designs allow to provide the near optimal performance in terms of the CRLB.

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Keywords
Design, Adaptive measurements, Direction of arrivalestimation(DOA), DOA estimation, Measurement matrix, Near-optimal performance, Novel design, Numerical results, Optimal estimations, Direction of arrival
Citation
Published Version (Please cite this version)