Adaptive measurement matrix design for compressed DoA estimation with sensor arrays
Ozer B, Lavrenko A, Gezici S, Romer F, Galdo GD, Arikan O (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: IEEE Computer Society
Book Volume: 2016-February
Pages Range: 1769-1773
Conference Proceedings Title: Conference Record - Asilomar Conference on Signals, Systems and Computers
Event location: Pacific Grove, CA, USA
ISBN: 9781467385763
DOI: 10.1109/ACSSC.2015.7421455
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.
Involved external institutions
Turkey (TR)
Germany (DE)How to cite
APA:
Ozer, B., Lavrenko, A., Gezici, S., Romer, F., Galdo, G.D., & Arikan, O. (2016). Adaptive measurement matrix design for compressed DoA estimation with sensor arrays. In Michael B. Matthews (Eds.), Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 1769-1773). Pacific Grove, CA, USA: IEEE Computer Society.
MLA:
Ozer, Berk, et al. "Adaptive measurement matrix design for compressed DoA estimation with sensor arrays." Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, CA, USA Ed. Michael B. Matthews, IEEE Computer Society, 2016. 1769-1773.
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