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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Main Authors: Fawei Yang, Jinpeng Guo, Rui Zhu, Julien Le Kernec, Quanhua Liu, Tao Zeng
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
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.
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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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AT julienlekernec groundcluttermitigationforslowtimemimoradarusingindependentcomponentanalysis
AT quanhualiu groundcluttermitigationforslowtimemimoradarusingindependentcomponentanalysis
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