Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology

A methodology utilizing low-resolution camera data is proposed to mitigate clutter effects on radar sensors in smart indoor environments. The proposed technique suppresses clutter in distance–velocity (range–Doppler) images obtained from millimeter-wave radar by estimating clutter locations using ap...

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Main Authors: Srishti Singh, Ha-Neul Lee, Yuna Park, Sungho Kim, Si-Hyun Park, Jong-Ryul Yang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/25/10/3113
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author Srishti Singh
Ha-Neul Lee
Yuna Park
Sungho Kim
Si-Hyun Park
Jong-Ryul Yang
author_facet Srishti Singh
Ha-Neul Lee
Yuna Park
Sungho Kim
Si-Hyun Park
Jong-Ryul Yang
author_sort Srishti Singh
collection DOAJ
description A methodology utilizing low-resolution camera data is proposed to mitigate clutter effects on radar sensors in smart indoor environments. The proposed technique suppresses clutter in distance–velocity (range–Doppler) images obtained from millimeter-wave radar by estimating clutter locations using approximate spatial information derived from low-resolution camera images. Notably, the inherent blur present in low-resolution images closely corresponds to the distortion patterns induced by clutter in radar signals, making such data particularly suitable for effective sensor fusion. Experimental validation was conducted in indoor path-tracking scenarios involving a moving subject within a 10 m range. Performance was quantitatively evaluated against baseline range–Doppler maps obtained using radar data alone, without clutter mitigation. The results show that our approach improves the signal-to-noise ratio by 2 dB and increases the target detection rate by 8.6% within the critical 4–6 m range, with additional gains observed under constrained velocity conditions.
format Article
id doaj-art-9f9c8f553e8546dfbec600fdf403d1d8
institution Kabale University
issn 1424-8220
language English
publishDate 2025-05-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj-art-9f9c8f553e8546dfbec600fdf403d1d82025-08-20T03:48:02ZengMDPI AGSensors1424-82202025-05-012510311310.3390/s25103113Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion TechnologySrishti Singh0Ha-Neul Lee1Yuna Park2Sungho Kim3Si-Hyun Park4Jong-Ryul Yang5Department of Electronics Engineering, Yeungnam University, Gyeongsan 38541, Republic of KoreaDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of KoreaDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of KoreaDepartment of Electronics Engineering, Yeungnam University, Gyeongsan 38541, Republic of KoreaDepartment of Electronics Engineering, Yeungnam University, Gyeongsan 38541, Republic of KoreaDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of KoreaA methodology utilizing low-resolution camera data is proposed to mitigate clutter effects on radar sensors in smart indoor environments. The proposed technique suppresses clutter in distance–velocity (range–Doppler) images obtained from millimeter-wave radar by estimating clutter locations using approximate spatial information derived from low-resolution camera images. Notably, the inherent blur present in low-resolution images closely corresponds to the distortion patterns induced by clutter in radar signals, making such data particularly suitable for effective sensor fusion. Experimental validation was conducted in indoor path-tracking scenarios involving a moving subject within a 10 m range. Performance was quantitatively evaluated against baseline range–Doppler maps obtained using radar data alone, without clutter mitigation. The results show that our approach improves the signal-to-noise ratio by 2 dB and increases the target detection rate by 8.6% within the critical 4–6 m range, with additional gains observed under constrained velocity conditions.https://www.mdpi.com/1424-8220/25/10/3113clutter mitigationmillimeter-wave radar sensorlow-resolution camerasensor fusionsignal-to-noise ratio
spellingShingle Srishti Singh
Ha-Neul Lee
Yuna Park
Sungho Kim
Si-Hyun Park
Jong-Ryul Yang
Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology
Sensors
clutter mitigation
millimeter-wave radar sensor
low-resolution camera
sensor fusion
signal-to-noise ratio
title Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology
title_full Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology
title_fullStr Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology
title_full_unstemmed Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology
title_short Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology
title_sort clutter mitigation in indoor radar sensors using sensor fusion technology
topic clutter mitigation
millimeter-wave radar sensor
low-resolution camera
sensor fusion
signal-to-noise ratio
url https://www.mdpi.com/1424-8220/25/10/3113
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