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Advanced compressed sensing approach to synthesis of sparse antenna arrays
Author(s): Huan Wang; Yibin Rui; Zeyu Sun; Renhong Xie; Peng Li; Ning Lv
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Paper Abstract

As an effective method in signal reconstruction model, compressed sensing (CS) has achieved excellent performance in sparse array reconstruction. However, it is necessary to set the penalization factor before iterative calculation, which will increase the difficulty to convergence the result to the global optimal solution. In this paper, we remove the process of choosing penalization factor and reconstruction error by modifying the iterative expression as well as alternating direction method of multipliers (ADMM) algorithm respectively. In addition, the improved model is shown to be convex and thus can be solved using the CVX toolbox. Simulation result shows that the reference pattern could be reconstructed with minimum number of antenna elements by the proposed algorithms. Moreover, the proposed methods have significant performance improvement in main sidelobe level (MSL).

Paper Details

Date Published: 31 December 2019
PDF: 6 pages
Proc. SPIE 11384, Eleventh International Conference on Signal Processing Systems, 113840U (31 December 2019); doi: 10.1117/12.2559148
Show Author Affiliations
Huan Wang, Nanjing Univ. of Science and Technology (China)
Yibin Rui, Nanjing Univ. of Science and Technology (China)
Zeyu Sun, Nanjing Univ. of Science and Technology (China)
Renhong Xie, Nanjing Univ. of Science and Technology (China)
Peng Li, Nanjing Univ. of Science and Technology (China)
Ning Lv, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11384:
Eleventh International Conference on Signal Processing Systems
Kezhi Mao, Editor(s)

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