Multiple Sparse Measurement Gradient Reconstruction Algorithm for DOA Estimation in Compressed Sensing
Joint Authors
Qu, Xinggen
Chen, Tao
Jiang, Yilin
Si, Weijian
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-26
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A novel direction of arrival (DOA) estimation method in compressed sensing (CS) is proposed, in which the DOA estimation problem is cast as the joint sparse reconstruction from multiple measurement vectors (MMV).
The proposed method is derived through transforming quadratically constrained linear programming (QCLP) into unconstrained convex optimization which overcomes the drawback that l 1 -norm is nondifferentiable when sparse sources are reconstructed by minimizing l 1 -norm.
The convergence rate and estimation performance of the proposed method can be significantly improved, since the steepest descent step and Barzilai-Borwein step are alternately used as the search step in the unconstrained convex optimization.
The proposed method can obtain satisfactory performance especially in these scenarios with low signal to noise ratio (SNR), small number of snapshots, or coherent sources.
Simulation results show the superior performance of the proposed method as compared with existing methods.
American Psychological Association (APA)
Si, Weijian& Qu, Xinggen& Jiang, Yilin& Chen, Tao. 2015. Multiple Sparse Measurement Gradient Reconstruction Algorithm for DOA Estimation in Compressed Sensing. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1073024
Modern Language Association (MLA)
Si, Weijian…[et al.]. Multiple Sparse Measurement Gradient Reconstruction Algorithm for DOA Estimation in Compressed Sensing. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1073024
American Medical Association (AMA)
Si, Weijian& Qu, Xinggen& Jiang, Yilin& Chen, Tao. Multiple Sparse Measurement Gradient Reconstruction Algorithm for DOA Estimation in Compressed Sensing. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1073024
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073024