Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis
The detection of low, slow and small (LSS) targets, such as small drones, is a developing area of research in radar, wherein the presence of ground clutter can be quite challenging. LSS targets, because of their unusual flying mode, can be easily shadowed by ground clutter, leading to poor radar det...
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MDPI AG
2022-12-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/14/23/6098 |
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author | Fawei Yang Jinpeng Guo Rui Zhu Julien Le Kernec Quanhua Liu Tao Zeng |
author_facet | Fawei Yang Jinpeng Guo Rui Zhu Julien Le Kernec Quanhua Liu Tao Zeng |
author_sort | Fawei Yang |
collection | DOAJ |
description | The detection of low, slow and small (LSS) targets, such as small drones, is a developing area of research in radar, wherein the presence of ground clutter can be quite challenging. LSS targets, because of their unusual flying mode, can be easily shadowed by ground clutter, leading to poor radar detection performance. In this study, we investigated the feasibility and performance of a ground clutter mitigation method combining slow-time multiple-input multiple-output (st-MIMO) waveforms and independent component analysis (ICA) in a ground-based MIMO radar focusing on LSS target detection. The modeling of ground clutter under the framework of st-MIMO was first defined. Combining the spatial and temporal steering vector of st-MIMO, a universal signal model including the target, ground clutter, and noise was established. The compliance of the signal model for conducting ICA to separate the target was analyzed. Based on this, a st-MIMO-ICA processing scheme was proposed to mitigate ground clutter. The effectiveness of the proposed method was verified with simulation and experimental data collected from an S-band st-MIMO radar system with a desirable target output signal-to-clutter-plus-noise ratio (SCNR). This work can shed light on the use of ground clutter mitigation techniques for MIMO radar to tackle LSS targets. |
first_indexed | 2024-03-09T17:34:06Z |
format | Article |
id | doaj.art-b4a1ccd442e7443ebcb50bdd67375dcb |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-09T17:34:06Z |
publishDate | 2022-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-b4a1ccd442e7443ebcb50bdd67375dcb2023-11-24T12:05:43ZengMDPI AGRemote Sensing2072-42922022-12-011423609810.3390/rs14236098Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component AnalysisFawei Yang0Jinpeng Guo1Rui Zhu2Julien Le Kernec3Quanhua Liu4Tao Zeng5Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaJames Watt School of Engineering, University of Glasgow, University Avenue, Glasgow G12 8QQ, UKRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaThe detection of low, slow and small (LSS) targets, such as small drones, is a developing area of research in radar, wherein the presence of ground clutter can be quite challenging. LSS targets, because of their unusual flying mode, can be easily shadowed by ground clutter, leading to poor radar detection performance. In this study, we investigated the feasibility and performance of a ground clutter mitigation method combining slow-time multiple-input multiple-output (st-MIMO) waveforms and independent component analysis (ICA) in a ground-based MIMO radar focusing on LSS target detection. The modeling of ground clutter under the framework of st-MIMO was first defined. Combining the spatial and temporal steering vector of st-MIMO, a universal signal model including the target, ground clutter, and noise was established. The compliance of the signal model for conducting ICA to separate the target was analyzed. Based on this, a st-MIMO-ICA processing scheme was proposed to mitigate ground clutter. The effectiveness of the proposed method was verified with simulation and experimental data collected from an S-band st-MIMO radar system with a desirable target output signal-to-clutter-plus-noise ratio (SCNR). This work can shed light on the use of ground clutter mitigation techniques for MIMO radar to tackle LSS targets.https://www.mdpi.com/2072-4292/14/23/6098ground clutter mitigationindependent component analysisslow-time MIMO radar |
spellingShingle | Fawei Yang Jinpeng Guo Rui Zhu Julien Le Kernec Quanhua Liu Tao Zeng Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis Remote Sensing ground clutter mitigation independent component analysis slow-time MIMO radar |
title | Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis |
title_full | Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis |
title_fullStr | Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis |
title_full_unstemmed | Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis |
title_short | Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis |
title_sort | ground clutter mitigation for slow time mimo radar using independent component analysis |
topic | ground clutter mitigation independent component analysis slow-time MIMO radar |
url | https://www.mdpi.com/2072-4292/14/23/6098 |
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