Abstract
In this paper, we propose a direction-of-arrival estimation method by covariance matrix sparse reconstruction of coprime array. Specifically, source locations are estimated by solving a newly formulated convex optimization problem, where the difference between the spatially smoothed covariance matrix and the sparsely reconstructed one is minimized. Then, a sliding window scheme is designed for source enumeration. Finally, the power of each source is re-estimated as a least squares problem. Compared with existing methods, the proposed method achieves more accurate source localization and power estimation performance with full utilization of increased degrees of freedom provided by coprime array.
Original language | English |
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Title of host publication | 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2369-2373 |
Number of pages | 5 |
ISBN (Electronic) | 9781467369978 |
DOIs | |
State | Published - 4 Aug 2015 |
Externally published | Yes |
Event | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: 19 Apr 2014 → 24 Apr 2014 |
Publication series
Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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Volume | 2015-August |
ISSN (Print) | 1520-6149 |
Conference
Conference | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 |
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Country/Territory | Australia |
City | Brisbane |
Period | 19/04/14 → 24/04/14 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Compressive sensing
- coprime array
- direction-of-arrival estimation
- power estimation
- source localization