Hybrid Baseband Simulation for Single-Channel Radar-Based Indoor Localization System
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866908546907504640 |
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| author | Hinderer, Sven Yin, Zheming Papanikolaou, Athanasios Hesselbarth, Jan Yang, Bin |
| author_facet | Hinderer, Sven Yin, Zheming Papanikolaou, Athanasios Hesselbarth, Jan Yang, Bin |
| contents | Indoor localization with chirp sequence radar at millimeter wavelength offers high localization accuracy at low system cost. We propose a hybrid radar baseband signal simulator for our novel single-channel radar-based indoor localization system consisting of an active radar and passive reflectors as references. By combining ray tracing channel simulations with real measurements of the two-way antenna gain of the radar and accurate simulation of the radar cross section of chosen reflectors, realistic modeling of the baseband receive signal in complex scenarios is achieved. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_15650 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hybrid Baseband Simulation for Single-Channel Radar-Based Indoor Localization System Hinderer, Sven Yin, Zheming Papanikolaou, Athanasios Hesselbarth, Jan Yang, Bin Signal Processing Indoor localization with chirp sequence radar at millimeter wavelength offers high localization accuracy at low system cost. We propose a hybrid radar baseband signal simulator for our novel single-channel radar-based indoor localization system consisting of an active radar and passive reflectors as references. By combining ray tracing channel simulations with real measurements of the two-way antenna gain of the radar and accurate simulation of the radar cross section of chosen reflectors, realistic modeling of the baseband receive signal in complex scenarios is achieved. |
| title | Hybrid Baseband Simulation for Single-Channel Radar-Based Indoor Localization System |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2509.15650 |