Multipath Ghosts Mitigation for Radar-based Positioning Systems

Xun Wang, Mu Jia, Xinjie Meng, Tingting Zhang
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引用次数: 2

Abstract

Due to the existence of numerous scatters and reflectors, the multipath propagation which leads to false alarms (or ghost images) will be challenging for accurate radar sensing systems in complex environments. In this paper, we use the frequency modulated continuous wave radar to obtain the range-Doppler information of targets. Aiming at the ghost images in low signal to noise ratio (SNR) regimes, we try to extend the existing low-complexity multi-target ghost recognition solution in low SNR regimes. Generally, we try to fuse measurements from different radars and observations, respectively, to improve the target detection quality. Since there exist errors in both range/velocity measurements and radar positions, we adopt a particle based clustering algorithm, to guarantee the robustness of the solution. Simulations and numeric results are provided and analyzed.
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基于雷达定位系统的多径干扰抑制
由于存在大量的散射体和反射体,导致假警报(或鬼像)的多径传播将对复杂环境下的精确雷达传感系统构成挑战。本文采用调频连续波雷达获取目标的距离-多普勒信息。针对低信噪比条件下的幽灵图像,对现有低复杂度的低信噪比条件下的多目标幽灵识别方法进行了扩展。通常,我们尝试分别融合不同雷达和观测数据,以提高目标检测质量。由于距离/速度测量和雷达位置都存在误差,我们采用了基于粒子的聚类算法,以保证解的鲁棒性。给出了仿真和数值结果并进行了分析。
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