A Radar-Based Simultaneous Localization and Mapping Paradigm for Scattering Map Modeling

Xiong Liu, Dongying Li, Wenxian Yu
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引用次数: 3

Abstract

In this paper, a Simultaneous Localization and Mapping (SLAM) paradigm with an adaptive genetic particle filter is migrated to the detection platform with microwave radar sensors. A closed-loop feedback scheme is implemented to obtain the position of radar platform as well as to construct a scattering map for surrounding object with either deterministic or stochastic echo-wave response. The simulation results indicate that the algorithm works accurately in terms of both map construction and platform positioning.
一种基于雷达的散射图建模同步定位与映射范式
本文将一种基于自适应遗传粒子滤波的同步定位与映射(SLAM)模式移植到微波雷达传感器检测平台上。采用闭环反馈方法获取雷达平台的位置,并构建具有确定性或随机回波响应的周围目标的散射图。仿真结果表明,该算法在地图构建和平台定位两方面都取得了较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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