Analysis of pedestrian gait patterns using radar based Micro-Doppler Signatures for the protection of vulnerable road users

被引：3

作者：

Rippl, Patrick ^{[1
]}

Iberle, Johannes ^{[1
]}

Mutschler, Marc A. ^{[1
]}

Scharf, Philipp A. ^{[1
]}

Mantz, Hubert ^{[1
]}

Walter, Thomas ^{[1
]}

机构：

[1] Univ Appl Sci Ulm, Lab Microtechnol, Albert Einstein Allee 55, D-89081 Ulm, Germany

来源：

2020 IEEE MTT-S INTERNATIONAL CONFERENCE ON MICROWAVES FOR INTELLIGENT MOBILITY (ICMIM) | 2020年

关键词：

curve fit; Doppler radar; human detection; Micro-Doppler classification;

D O I：

10.1109/icmim48759.2020.9299029

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This contribution provides an approach to isolate and mathematically describe the movement of single body parts in the context of Doppler radar measurements. Using a Fourier series approximation, the quasi-periodic Micro-Doppler signatures of single body parts, namely the torso and the knee, are displayed. The motion of these body parts show certain features as the coefficients of the approximation indicate. As a result, the Fourier coefficients deliver a characteristic pattern describing the Micro-Doppler signatures of the single body parts. The frequency component coincides with the stride rate of the pedestrian.

引用

页数：4

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