MRR-Based Line-Laser Scanning for Reliable Vehicular Positioning and Optical Communication
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866917144476778496 |
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| author | Dabiri, Mohammad Taghi Safi, Hossein Ammuri, Rula Hasna, Mazen Qaraqe, Khalid Haas, Harald Tavakkolnia, Iman |
| author_facet | Dabiri, Mohammad Taghi Safi, Hossein Ammuri, Rula Hasna, Mazen Qaraqe, Khalid Haas, Harald Tavakkolnia, Iman |
| contents | High-speed vehicular environments require optical systems capable of joint sensing, positioning, and communication (JSPC) without mechanical tracking. Existing optical and integrated sensing-communication approaches often rely on point-source emitters or camera-based receivers, limiting spatial coverage and update rate under highway dynamics. This work introduces a new class of tracking-free optical JSPC systems that combine structured line-laser illumination with modulating retroreflector (MRR) arrays on vehicles. Two orthogonal line lasers perform synchronized longitudinal and transverse scanning to provide continuous, wide-area coverage across the roadway. A coverage-driven analytical framework models the coupling between beam divergence, scan geometry, and dwell-time allocation, enabling joint evaluation of sensing reliability and communication quality. An optimization scheme is developed to adapt scanning and divergence parameters for uniform coverage and power efficiency. Simulation results demonstrate significant improvements in spatial coverage uniformity, link stability, and reliability within a fixed scan period. These results establish a practical pathway toward scalable, turbulence-resilient optical architectures for next-generation vehicular JSPC networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_12186 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MRR-Based Line-Laser Scanning for Reliable Vehicular Positioning and Optical Communication Dabiri, Mohammad Taghi Safi, Hossein Ammuri, Rula Hasna, Mazen Qaraqe, Khalid Haas, Harald Tavakkolnia, Iman Signal Processing High-speed vehicular environments require optical systems capable of joint sensing, positioning, and communication (JSPC) without mechanical tracking. Existing optical and integrated sensing-communication approaches often rely on point-source emitters or camera-based receivers, limiting spatial coverage and update rate under highway dynamics. This work introduces a new class of tracking-free optical JSPC systems that combine structured line-laser illumination with modulating retroreflector (MRR) arrays on vehicles. Two orthogonal line lasers perform synchronized longitudinal and transverse scanning to provide continuous, wide-area coverage across the roadway. A coverage-driven analytical framework models the coupling between beam divergence, scan geometry, and dwell-time allocation, enabling joint evaluation of sensing reliability and communication quality. An optimization scheme is developed to adapt scanning and divergence parameters for uniform coverage and power efficiency. Simulation results demonstrate significant improvements in spatial coverage uniformity, link stability, and reliability within a fixed scan period. These results establish a practical pathway toward scalable, turbulence-resilient optical architectures for next-generation vehicular JSPC networks. |
| title | MRR-Based Line-Laser Scanning for Reliable Vehicular Positioning and Optical Communication |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2512.12186 |