Sensors 2011, 11(9), 9098-9108; doi:10.3390/s110909098
Article

Direction-of-Arrival Estimation Based on Joint Sparsity

School of Electronic Science and Engineering, NUDT, Changsha 410073, China
* Author to whom correspondence should be addressed.
Received: 16 August 2011; in revised form: 17 September 2011 / Accepted: 18 September 2011 / Published: 21 September 2011
(This article belongs to the Section Physical Sensors)
PDF Full-text Download PDF Full-Text [311 KB, uploaded 21 September 2011 11:34 CEST]
Abstract: We present a DOA estimation algorithm, called Joint-Sparse DOA to address the problem of Direction-of-Arrival (DOA) estimation using sensor arrays. Firstly, DOA estimation is cast as the joint-sparse recovery problem. Then, norm is approximated by an arctan function to represent joint sparsity and DOA estimation can be obtained by minimizing the approximate norm. Finally, the minimization problem is solved by a quasi-Newton method to estimate DOA. Simulation results show that our algorithm has some advantages over most existing methods: it needs a small number of snapshots to estimate DOA, while the number of sources need not be known a priori. Besides, it improves the resolution, and it can also handle the coherent sources well.
Keywords: joint-sparse; compressed sensing; Direction-of-Arrival; quasi-Newton methods; multiple measure vectors

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Wang, J.; Huang, Z.; Zhou, Y. Direction-of-Arrival Estimation Based on Joint Sparsity. Sensors 2011, 11, 9098-9108.

AMA Style

Wang J, Huang Z, Zhou Y. Direction-of-Arrival Estimation Based on Joint Sparsity. Sensors. 2011; 11(9):9098-9108.

Chicago/Turabian Style

Wang, Junhua; Huang, Zhitao; Zhou, Yiyu. 2011. "Direction-of-Arrival Estimation Based on Joint Sparsity." Sensors 11, no. 9: 9098-9108.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert