Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization
Sven Hinderer, Pascal Schlachter, Zhibin Yu, Xiaofeng Wu, Bin Yang
公開日: 2025/9/19
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.