Sparsity Adaptive Matching Pursuit Detection Algorithm Based on Compressed Sensing for Radar Signals
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College of Automation, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China
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College of Science, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China
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Author to whom correspondence should be addressed.
Academic Editor: Jonathan Li
Sensors 2017, 17(5), 1120; https://doi.org/10.3390/s17051120
Received: 20 February 2017
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Revised: 4 May 2017
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Accepted: 11 May 2017
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Published: 13 May 2017
(This article belongs to the Section Remote Sensors)
In this paper, the application of the emerging compressed sensing (CS) theory and the geometric characteristics of the targets in radar images are investigated. Currently, the signal detection algorithms based on the CS theory require knowing the prior knowledge of the sparsity of target signals. However, in practice, it is often impossible to know the sparsity in advance. To solve this problem, a novel sparsity adaptive matching pursuit (SAMP) detection algorithm is proposed. This algorithm executes the detection task by updating the support set and gradually increasing the sparsity to approximate the original signal. To verify the effectiveness of the proposed algorithm, the data collected in 2010 at Pingtan, which located on the coast of the East China Sea, were applied. Experiment results illustrate that the proposed method adaptively completes the detection task without knowing the signal sparsity, and the similar detection performance is close to the matching pursuit (MP) and orthogonal matching pursuit (OMP) detection algorithms.
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Keywords:
compressed sensing; radar signal; sparsity adaptive; target detection
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MDPI and ACS Style
Wei, Y.; Lu, Z.; Yuan, G.; Fang, Z.; Huang, Y. Sparsity Adaptive Matching Pursuit Detection Algorithm Based on Compressed Sensing for Radar Signals. Sensors 2017, 17, 1120. https://doi.org/10.3390/s17051120
AMA Style
Wei Y, Lu Z, Yuan G, Fang Z, Huang Y. Sparsity Adaptive Matching Pursuit Detection Algorithm Based on Compressed Sensing for Radar Signals. Sensors. 2017; 17(5):1120. https://doi.org/10.3390/s17051120
Chicago/Turabian StyleWei, Yanbo, Zhizhong Lu, Gannan Yuan, Zhao Fang, and Yu Huang. 2017. "Sparsity Adaptive Matching Pursuit Detection Algorithm Based on Compressed Sensing for Radar Signals" Sensors 17, no. 5: 1120. https://doi.org/10.3390/s17051120
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