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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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Sensors |
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| 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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