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. https://resolver.caltech.edu/CaltechAUTHORS:20150508-140006588
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Abstract
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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| 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. | |||||||||
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| Record Number: | CaltechAUTHORS:20150508-140006588 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20150508-140006588 | |||||||||
| 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: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094408&isnumber=7094373 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 57385 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Tony Diaz | |||||||||
| Deposited On: | 08 May 2015 21:21 | |||||||||
| Last Modified: | 09 Mar 2020 13:19 |
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