Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866908792869879808 |
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| author | Hinderer, Sven Schlachter, Pascal Yu, Zhibin Wu, Xiaofeng Yang, Bin |
| author_facet | Hinderer, Sven Schlachter, Pascal Yu, Zhibin Wu, Xiaofeng Yang, Bin |
| contents | We extend our work on a novel indoor positioning system (IPS) for autonomous mobile robots (AMRs) based on radar sensing of local, passive radar reflectors. Through the combination of simple reflectors and a single-channel frequency modulated continuous wave (FMCW) radar, high positioning accuracy at low system cost can be achieved. Further, a multi-objective (MO) particle swarm optimization (PSO) algorithm is presented that optimizes the 2D placement of radar reflectors in complex room settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_15613 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization Hinderer, Sven Schlachter, Pascal Yu, Zhibin Wu, Xiaofeng Yang, Bin Robotics Signal Processing We extend our work on a novel indoor positioning system (IPS) for autonomous mobile robots (AMRs) based on radar sensing of local, passive radar reflectors. Through the combination of simple reflectors and a single-channel frequency modulated continuous wave (FMCW) radar, high positioning accuracy at low system cost can be achieved. Further, a multi-objective (MO) particle swarm optimization (PSO) algorithm is presented that optimizes the 2D placement of radar reflectors in complex room settings. |
| title | Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization |
| topic | Robotics Signal Processing |
| url | https://arxiv.org/abs/2509.15613 |