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MIMO Radar Imaging Based on Smoothed l 0 Norm
Joint Authors
Feng, Jun-Jie
Zhang, Gong
Wen, Fang-Qing
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
For radar imaging, a target usually has only a few strong scatterers which are sparsely distributed.
In this paper, we propose a compressive sensing MIMO radarimaging algorithm based on smoothed l 0 norm.
An approximate hyperbolic tangent function is proposed as the smoothed function to measure the sparsity.
A revised Newton method is used to solve the optimization problem by deriving the new revised Newton directions for the sequence of approximate hyperbolic tangent functions.
In order to improve robustness of the imaging algorithm, main value weighted method is proposed.
Simulation results show that the proposed algorithm is superior to Orthogonal Matching Pursuit (OMP), smoothed l 0 method (SL0), and Bayesian method with Laplace prior in performance of sparse signal reconstruction.
Two-dimensional image quality of MIMO radar using the new method has great improvement comparing with aforementioned reconstruction algorithm.
American Psychological Association (APA)
Feng, Jun-Jie& Zhang, Gong& Wen, Fang-Qing. 2015. MIMO Radar Imaging Based on Smoothed l 0 Norm. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074870
Modern Language Association (MLA)
Feng, Jun-Jie…[et al.]. MIMO Radar Imaging Based on Smoothed l 0 Norm. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1074870
American Medical Association (AMA)
Feng, Jun-Jie& Zhang, Gong& Wen, Fang-Qing. MIMO Radar Imaging Based on Smoothed l 0 Norm. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074870
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074870