Performande enhancement of multi-human detection using an IR-UWB radar by an adaptive thresholding algorithm

Eun Chong Lee, S. Cho
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引用次数: 3

Abstract

In this paper, an adaptive thresholding algorithm for detecting multi-human using an impulse radio ultra-wideband (IR-UWB) radar is proposed. The magnitude of the received signal shows trend of decreasing with the increasing number of the people in the interesting area of a radar owing to the scattering by the multi-human. Conventional multi-human detection algorithms do not consider this effect. To detect multi-human more correctly, the threshold should be adjusted by the number of humans. The adaptive thresholding algorithm adjusts the threshold values based on the estimated number of human using the variance of received signal.
利用自适应阈值算法增强红外超宽带雷达的多人检测性能
本文提出了一种用于脉冲无线电超宽带(IR-UWB)雷达检测多人的自适应阈值算法。在雷达感兴趣区域内,由于多人的散射作用,接收信号的幅度随人数的增加而减小。传统的多人检测算法没有考虑到这种影响。为了更准确地检测多人,阈值应该根据人的数量进行调整。自适应阈值算法利用接收信号的方差,根据估计的人的数量来调整阈值。
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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