Next Article in Journal
Previous Article in Journal
Sensors 2011, 11(5), 4780-4793; doi:10.3390/s110504780
Article

Adaptive Sparse Representation for Source Localization with Gain/Phase Errors

* ,
,
 and
Received: 14 February 2011; in revised form: 11 April 2011 / Accepted: 12 April 2011 / Published: 2 May 2011
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [266 KB, uploaded 21 June 2014]
Abstract: Sparse representation (SR) algorithms can be implemented for high-resolution direction of arrival (DOA) estimation. Additionally, SR can effectively separate the coherent signal sources because the spectrum estimation is based on the optimization technique, such as the L1 norm minimization, but not on subspace orthogonality. However, in the actual source localization scenario, an unknown gain/phase error between the array sensors is inevitable. Due to this nonideal factor, the predefined overcomplete basis mismatches the actual array manifold so that the estimation performance is degraded in SR. In this paper, an adaptive SR algorithm is proposed to improve the robustness with respect to the gain/phase error, where the overcomplete basis is dynamically adjusted using multiple snapshots and the sparse solution is adaptively acquired to match with the actual scenario. The simulation results demonstrate the estimation robustness to the gain/phase error using the proposed method.
Keywords: direction-of-arrival estimation; adaptive sparse representation; adaptive overcomplete basis learning direction-of-arrival estimation; adaptive sparse representation; adaptive overcomplete basis learning
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Sun, K.; Liu, Y.; Meng, H.; Wang, X. Adaptive Sparse Representation for Source Localization with Gain/Phase Errors. Sensors 2011, 11, 4780-4793.

AMA Style

Sun K, Liu Y, Meng H, Wang X. Adaptive Sparse Representation for Source Localization with Gain/Phase Errors. Sensors. 2011; 11(5):4780-4793.

Chicago/Turabian Style

Sun, Ke; Liu, Yimin; Meng, Huadong; Wang, Xiqin. 2011. "Adaptive Sparse Representation for Source Localization with Gain/Phase Errors." Sensors 11, no. 5: 4780-4793.



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