A comparative cepstral based analysis of simulated and measured S-band and X-band radar Doppler spectra of human motion

W. D. van Eeden, J. D. de Villiers, W. Nel, K. Kloke, Erik Blasch
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引用次数: 9

Abstract

A Simulation for human Doppler response is developed based on the Carnegie Mellon University motion capture database. This data is used to simulate human Doppler response as it would be seen by a radar system and this data is compared to measured radar data in S- and X- band. Cepstrum analysis is then used to evaluate the features of each time frame and the synthetic data is compared to measured data. It is shown that motion capture data can be used to simulate the Doppler response of human targets. It is also shown that, whereas the motion of most body parts of a human target can be observed in the X-band data, only the main torso sway can be observed at S-band. This implies that X-band data is well suited to cepstrum based human motion classification, whereas S-band is not ideal. However there are some discriminative features that could be extracted from the S-band data of the main body sway of running and walking individuals. Finally, the statistical differences between cepstrum coefficients of the data of walking and running individuals are highlighted, indicating their discriminative significance.
人体运动的s波段和x波段雷达多普勒频谱的模拟和测量的比较倒谱分析
基于卡内基梅隆大学的动作捕捉数据库,开发了人体多普勒反应仿真系统。该数据用于模拟人体多普勒反应,因为它将被雷达系统看到,并将该数据与S和X波段的测量雷达数据进行比较。然后使用倒频谱分析来评估每个时间框架的特征,并将合成数据与测量数据进行比较。结果表明,运动捕捉数据可以用来模拟人体目标的多普勒响应。研究还表明,在x波段数据中可以观察到人体目标大部分身体部位的运动,而在s波段数据中只能观察到主要的躯干摆动。这意味着x波段数据非常适合基于倒谱的人体运动分类,而s波段则不理想。然而,从跑步和步行个体的主体摆动s波段数据中可以提取出一些判别特征。最后,突出了步行和跑步个体数据倒谱系数之间的统计差异,表明了它们的判别意义。
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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