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Gridless methods for underdetermined source estimation

Pal, Piya and Vaidyanathan, P. P. (2014) Gridless methods for underdetermined source estimation. In: 48th Asilomar Conference on Signals, Systems and Computers. IEEE , Piscataway, NJ, pp. 111-115. ISBN 978-1-4799-8295-0.

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The performances of two gridless algorithms for direction of arrival estimation are analyzed, when the number of sources can be larger than the number of array elements. One of these algorithms is a hybrid scheme recently proposed by the authors that uses low rank recovery techniques, and the other is based on total variation (TV) norm minimization scheme. It is shown that when a nested sensor array is used, and the source signals are assumed to be Gaussian, these recovery algorithms can recover O(M^2) sources using M sensors with overwhelming probability in the number of time snapshots.

Item Type:Book Section
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URLURL TypeDescription DOIArticle
Vaidyanathan, P. P.0000-0003-3003-7042
Additional Information:© 2014 IEEE. This work was supported in parts by the ONR grant N00014-11-1-0676, the California Institute of Technology, and the University of Maryland, College Park.
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-11-1-0676
University of MarylandUNSPECIFIED
Record Number:CaltechAUTHORS:20150508-140006588
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Official Citation:Pal, Piya; Vaidyanathan, P.P., "Gridless methods for underdetermined source estimation," Signals, Systems and Computers, 2014 48th Asilomar Conference on , vol., no., pp.111,115, 2-5 Nov. 2014 doi: 10.1109/ACSSC.2014.7094408 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:57385
Deposited By: Tony Diaz
Deposited On:08 May 2015 21:21
Last Modified:10 Nov 2021 21:11

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