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An MHT algorithm for UWB radar-based multiple human target tracking

机译:基于UWB雷达的MHT算法,基于UWB雷达的多人目标跟踪

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This paper presents a multiple hypothesis tracking (MHT) framework for tracking the ranges and velocities of a variable number of moving human targets via a mono-static ultra-wideband (UWB) radar. The multi-target tracking (MTT) problem for UWB radar-based human target tracking differs from traditional applications because of the multitude of observations (multipath scattering) per target in each scan, due to the short spatial extent of the transmitted UWB signal pulse width. We develop an MHT framework for UWB radar-based multiple human target tracking that extends a previously studied human tracking algorithm. We present experimental results in which a monostatic UWB radar tracks both individual and multiple human targets, even with changing numbers of targets across radar scans.
机译:本文介绍了通过单静态超宽带(UWB)雷达跟踪可变数量的移动人体目标的范围和速度的多假设跟踪(MHT)框架。由于传输的UWB信号脉冲宽度的短暂空间程度短,所以基于UWB雷达的人类目标跟踪的多目标跟踪(MTT)问题与传统应用不同于传统应用程序,因为所扫描的UWB信号脉冲宽度的短空间程度短。我们为基于UWB雷达的多人目标跟踪开发了MHT框架,其扩展了先前研究的人类跟踪算法。我们存在实验结果,其中单个UWB雷达追踪个人和多个人体目标,即使在横跨雷达扫描的目标数量变化。

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