An Efficient Moving Target Detection Algorithm Based on Sparsity-Aware Spectrum Estimation

In this paper, an efficient direct data domain space-time adaptive processing (STAP) algorithm for moving targets detection is proposed, which is achieved based on the distinct spectrum features of clutter and target signals in the angle-Doppler domain. To reduce the computational complexity, the hi...

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Main Authors: Mingwei Shen, Jie Wang, Di Wu, Daiyin Zhu
Format: Article
Language:English
Published: MDPI AG 2014-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/9/17055
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author Mingwei Shen
Jie Wang
Di Wu
Daiyin Zhu
author_facet Mingwei Shen
Jie Wang
Di Wu
Daiyin Zhu
author_sort Mingwei Shen
collection DOAJ
description In this paper, an efficient direct data domain space-time adaptive processing (STAP) algorithm for moving targets detection is proposed, which is achieved based on the distinct spectrum features of clutter and target signals in the angle-Doppler domain. To reduce the computational complexity, the high-resolution angle-Doppler spectrum is obtained by finding the sparsest coefficients in the angle domain using the reduced-dimension data within each Doppler bin. Moreover, we will then present a knowledge-aided block-size detection algorithm that can discriminate between the moving targets and the clutter based on the extracted spectrum features. The feasibility and effectiveness of the proposed method are validated through both numerical simulations and raw data processing results.
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spelling doaj.art-88b964ef719d40b7ac84d7169a3291df2022-12-22T04:22:06ZengMDPI AGSensors1424-82202014-09-01149170551706710.3390/s140917055s140917055An Efficient Moving Target Detection Algorithm Based on Sparsity-Aware Spectrum EstimationMingwei Shen0Jie Wang1Di Wu2Daiyin Zhu3College of Computer and Information Engineering, Hohai University, Nanjing 211100, ChinaCollege of Computer and Information Engineering, Hohai University, Nanjing 211100, ChinaKey Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronautics and Astronautics), Ministry of Education, Nanjing 210016, ChinaKey Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronautics and Astronautics), Ministry of Education, Nanjing 210016, ChinaIn this paper, an efficient direct data domain space-time adaptive processing (STAP) algorithm for moving targets detection is proposed, which is achieved based on the distinct spectrum features of clutter and target signals in the angle-Doppler domain. To reduce the computational complexity, the high-resolution angle-Doppler spectrum is obtained by finding the sparsest coefficients in the angle domain using the reduced-dimension data within each Doppler bin. Moreover, we will then present a knowledge-aided block-size detection algorithm that can discriminate between the moving targets and the clutter based on the extracted spectrum features. The feasibility and effectiveness of the proposed method are validated through both numerical simulations and raw data processing results.http://www.mdpi.com/1424-8220/14/9/17055space-time adaptive processingsparse reconstructionclutter suppression
spellingShingle Mingwei Shen
Jie Wang
Di Wu
Daiyin Zhu
An Efficient Moving Target Detection Algorithm Based on Sparsity-Aware Spectrum Estimation
Sensors
space-time adaptive processing
sparse reconstruction
clutter suppression
title An Efficient Moving Target Detection Algorithm Based on Sparsity-Aware Spectrum Estimation
title_full An Efficient Moving Target Detection Algorithm Based on Sparsity-Aware Spectrum Estimation
title_fullStr An Efficient Moving Target Detection Algorithm Based on Sparsity-Aware Spectrum Estimation
title_full_unstemmed An Efficient Moving Target Detection Algorithm Based on Sparsity-Aware Spectrum Estimation
title_short An Efficient Moving Target Detection Algorithm Based on Sparsity-Aware Spectrum Estimation
title_sort efficient moving target detection algorithm based on sparsity aware spectrum estimation
topic space-time adaptive processing
sparse reconstruction
clutter suppression
url http://www.mdpi.com/1424-8220/14/9/17055
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