Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments
Frequency-modulated continuous-wave (FMCW) millimeter-wave (mmWave) radar systems are increasingly utilized in environmental sensing due to their high range resolution and robust sensing ability in severe weather environments. However, mutual interference among radar systems significantly degrades t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/1/26 |
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| author | Youlong Weng Ziang Zhang Guangzhi Chen Yaru Zhang Jiabao Chen Hongzhan Song |
| author_facet | Youlong Weng Ziang Zhang Guangzhi Chen Yaru Zhang Jiabao Chen Hongzhan Song |
| author_sort | Youlong Weng |
| collection | DOAJ |
| description | Frequency-modulated continuous-wave (FMCW) millimeter-wave (mmWave) radar systems are increasingly utilized in environmental sensing due to their high range resolution and robust sensing ability in severe weather environments. However, mutual interference among radar systems significantly degrades the target detection capability. Recent advancements in interference mitigation utilizing deep learning (DL) approaches have demonstrated promising results. DL-based approaches typically have high computational costs, which makes them unsuitable for real-time applications with strict latency requirements and limited computing resources. In this paper, we propose an efficient solution for real-time radar interference mitigation. A lightweight transformer, which is smaller and faster than the baseline transformer, is designed to reduce interference. The integration of linear attention mechanisms with depthwise separable convolutions significantly reduces the network’s computational complexity while maintaining a comparable performance. In addition, a two-stage knowledge distillation (KD) process is deployed to compress the network and enhance its efficiency. The staged distillation approach alleviates the training difficulties associated with substantial differences between the teacher and student networks. Both simulated and real-world experiments demonstrate that the proposed method outperforms the state-of-the-art methods while achieving high processing speeds. |
| format | Article |
| id | doaj-art-22e172810b5a4b589d4712b98d97e0b2 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-22e172810b5a4b589d4712b98d97e0b22025-01-10T13:19:59ZengMDPI AGRemote Sensing2072-42922024-12-011712610.3390/rs17010026Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference EnvironmentsYoulong Weng0Ziang Zhang1Guangzhi Chen2Yaru Zhang3Jiabao Chen4Hongzhan Song5School of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaFrequency-modulated continuous-wave (FMCW) millimeter-wave (mmWave) radar systems are increasingly utilized in environmental sensing due to their high range resolution and robust sensing ability in severe weather environments. However, mutual interference among radar systems significantly degrades the target detection capability. Recent advancements in interference mitigation utilizing deep learning (DL) approaches have demonstrated promising results. DL-based approaches typically have high computational costs, which makes them unsuitable for real-time applications with strict latency requirements and limited computing resources. In this paper, we propose an efficient solution for real-time radar interference mitigation. A lightweight transformer, which is smaller and faster than the baseline transformer, is designed to reduce interference. The integration of linear attention mechanisms with depthwise separable convolutions significantly reduces the network’s computational complexity while maintaining a comparable performance. In addition, a two-stage knowledge distillation (KD) process is deployed to compress the network and enhance its efficiency. The staged distillation approach alleviates the training difficulties associated with substantial differences between the teacher and student networks. Both simulated and real-world experiments demonstrate that the proposed method outperforms the state-of-the-art methods while achieving high processing speeds.https://www.mdpi.com/2072-4292/17/1/26frequency-modulated continuous-wave (FMCW) radarinterference mitigationlightweight transformertarget detectionknowledge distillation (KD) |
| spellingShingle | Youlong Weng Ziang Zhang Guangzhi Chen Yaru Zhang Jiabao Chen Hongzhan Song Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments Remote Sensing frequency-modulated continuous-wave (FMCW) radar interference mitigation lightweight transformer target detection knowledge distillation (KD) |
| title | Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments |
| title_full | Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments |
| title_fullStr | Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments |
| title_full_unstemmed | Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments |
| title_short | Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments |
| title_sort | real time interference mitigation for reliable target detection with fmcw radar in interference environments |
| topic | frequency-modulated continuous-wave (FMCW) radar interference mitigation lightweight transformer target detection knowledge distillation (KD) |
| url | https://www.mdpi.com/2072-4292/17/1/26 |
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