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.

翻译：我们扩展了基于雷达传感局部被动雷达反射器的新型自主移动机器人室内定位系统研究。通过结合简单反射器与单通道调频连续波雷达，可在较低系统成本下实现高定位精度。此外，本文提出一种多目标粒子群优化算法，用于优化复杂室内环境中雷达反射器的二维布局。