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arXiv · 2509.15613

Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization

Sven Hinderer·Pascal Schlachter·Zhibin Yu·Xiaofeng Wu·Bin Yang
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Abstract

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.

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Sven Hinderer, Pascal Schlachter, Zhibin Yu, Xiaofeng Wu, Bin Yang. 2025-09-19. Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization. https://doi.org/10.1109/ipin57070.2023.10332502

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