Robust STAP for MIMO Radar Based on Direct Data Domain Approach

The detection performance of direct data domain (D3) space-time adaptive processing (STAP) will be extremely degraded when there are mismatches between the actual and the presumed signal steering vectors. In this paper, a robust D3 STAP method for multiple-input multiple-output (MIMO) radar is devel...

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Main Authors: Cheng Chen, Junjie He, Zeshi Yuan, Xiaohua Zhu, Hongtao Li
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2017/6967130
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spelling doaj-6894665340f4499781562cd1e29e82fd2020-11-24T22:20:53ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772017-01-01201710.1155/2017/69671306967130Robust STAP for MIMO Radar Based on Direct Data Domain ApproachCheng Chen0Junjie He1Zeshi Yuan2Xiaohua Zhu3Hongtao Li4Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, ChinaThe 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210094, ChinaNanjing University of Science and Technology, Nanjing, Jiangsu 210094, ChinaNanjing University of Science and Technology, Nanjing, Jiangsu 210094, ChinaNanjing University of Science and Technology, Nanjing, Jiangsu 210094, ChinaThe detection performance of direct data domain (D3) space-time adaptive processing (STAP) will be extremely degraded when there are mismatches between the actual and the presumed signal steering vectors. In this paper, a robust D3 STAP method for multiple-input multiple-output (MIMO) radar is developed. The proposed method utilizes the worst-case performance optimization (WCPO) to prevent the target self-nulling effect. An upper bound for the norm of the signal steering vector error is given to ensure that the WCPO problem has an admissible solution. Meanwhile, to obtain better detection performance in the low signal-to-noise ratio (SNR) environment, the proposed method gives a modified objective function to minimize the array noise while mitigating the interferences. Simulation results demonstrate the validity of our proposed method.http://dx.doi.org/10.1155/2017/6967130
collection DOAJ
language English
format Article
sources DOAJ
author Cheng Chen
Junjie He
Zeshi Yuan
Xiaohua Zhu
Hongtao Li
spellingShingle Cheng Chen
Junjie He
Zeshi Yuan
Xiaohua Zhu
Hongtao Li
Robust STAP for MIMO Radar Based on Direct Data Domain Approach
International Journal of Antennas and Propagation
author_facet Cheng Chen
Junjie He
Zeshi Yuan
Xiaohua Zhu
Hongtao Li
author_sort Cheng Chen
title Robust STAP for MIMO Radar Based on Direct Data Domain Approach
title_short Robust STAP for MIMO Radar Based on Direct Data Domain Approach
title_full Robust STAP for MIMO Radar Based on Direct Data Domain Approach
title_fullStr Robust STAP for MIMO Radar Based on Direct Data Domain Approach
title_full_unstemmed Robust STAP for MIMO Radar Based on Direct Data Domain Approach
title_sort robust stap for mimo radar based on direct data domain approach
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2017-01-01
description The detection performance of direct data domain (D3) space-time adaptive processing (STAP) will be extremely degraded when there are mismatches between the actual and the presumed signal steering vectors. In this paper, a robust D3 STAP method for multiple-input multiple-output (MIMO) radar is developed. The proposed method utilizes the worst-case performance optimization (WCPO) to prevent the target self-nulling effect. An upper bound for the norm of the signal steering vector error is given to ensure that the WCPO problem has an admissible solution. Meanwhile, to obtain better detection performance in the low signal-to-noise ratio (SNR) environment, the proposed method gives a modified objective function to minimize the array noise while mitigating the interferences. Simulation results demonstrate the validity of our proposed method.
url http://dx.doi.org/10.1155/2017/6967130
work_keys_str_mv AT chengchen robuststapformimoradarbasedondirectdatadomainapproach
AT junjiehe robuststapformimoradarbasedondirectdatadomainapproach
AT zeshiyuan robuststapformimoradarbasedondirectdatadomainapproach
AT xiaohuazhu robuststapformimoradarbasedondirectdatadomainapproach
AT hongtaoli robuststapformimoradarbasedondirectdatadomainapproach
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