mmMirror: Device Free mmWave Indoor NLoS Localization Using Van-Atta-Array IRS
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866913841662656512 |
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| author | Yan, Yihe Shi, Zhenguo Wang, Yanxiang Jiang, Cheng Chou, Chun Tung Hu, Wen |
| author_facet | Yan, Yihe Shi, Zhenguo Wang, Yanxiang Jiang, Cheng Chou, Chun Tung Hu, Wen |
| contents | Industry 4.0 is transforming manufacturing and logistics by integrating robots into shared human environments, such as factories, warehouses, and healthcare facilities. However, the risk of human-robot collisions, especially in Non-Line-of-Sight (NLoS) scenarios like around corners, remains a critical challenge. Existing solutions, such as vision-based and LiDAR systems, often fail under occlusion, lighting constraints, or privacy concerns, while RF-based systems are limited by range and accuracy.
To address these limitations, we propose mmMirror, a novel system leveraging a Van Atta Array-based millimeter-wave (mmWave) reconfigurable intelligent reflecting surface (IRS) for precise, device-free NLoS localization. mmMirror integrates seamlessly with existing frequency-modulated continuous-wave (FMCW) radars and offers: (i) robust NLoS localization with centimeter-level accuracy at ranges up to 3 m, (ii) seamless uplink and downlink communication between radar and IRS, (iii) support for multi-radar and multi-target scenarios via dynamic beam steering, and (iv) reduced scanning latency through adaptive time slot allocation. Implemented using commodity 24 GHz radars and a PCB-based IRS prototype, mmMirror demonstrates its potential in enabling safe human-robot interactions in dynamic and complex environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_10816 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | mmMirror: Device Free mmWave Indoor NLoS Localization Using Van-Atta-Array IRS Yan, Yihe Shi, Zhenguo Wang, Yanxiang Jiang, Cheng Chou, Chun Tung Hu, Wen Networking and Internet Architecture Human-Computer Interaction Robotics Industry 4.0 is transforming manufacturing and logistics by integrating robots into shared human environments, such as factories, warehouses, and healthcare facilities. However, the risk of human-robot collisions, especially in Non-Line-of-Sight (NLoS) scenarios like around corners, remains a critical challenge. Existing solutions, such as vision-based and LiDAR systems, often fail under occlusion, lighting constraints, or privacy concerns, while RF-based systems are limited by range and accuracy. To address these limitations, we propose mmMirror, a novel system leveraging a Van Atta Array-based millimeter-wave (mmWave) reconfigurable intelligent reflecting surface (IRS) for precise, device-free NLoS localization. mmMirror integrates seamlessly with existing frequency-modulated continuous-wave (FMCW) radars and offers: (i) robust NLoS localization with centimeter-level accuracy at ranges up to 3 m, (ii) seamless uplink and downlink communication between radar and IRS, (iii) support for multi-radar and multi-target scenarios via dynamic beam steering, and (iv) reduced scanning latency through adaptive time slot allocation. Implemented using commodity 24 GHz radars and a PCB-based IRS prototype, mmMirror demonstrates its potential in enabling safe human-robot interactions in dynamic and complex environments. |
| title | mmMirror: Device Free mmWave Indoor NLoS Localization Using Van-Atta-Array IRS |
| topic | Networking and Internet Architecture Human-Computer Interaction Robotics |
| url | https://arxiv.org/abs/2505.10816 |