Application of Improved Cohen Bilinear Time-frequency Distribution for Doppler Motion Feature Extraction

DOI

10.2991/icadme-17.2017.28How to use a DOI?

Keywords

Doppler motion; feature extraction; human gait; time-frequency distribution.

Abstract

Doppler signals of body movement are measured and collected by using X-band continuous wave radar to extract the human motion characteristics of radar echo. In order to suppress the cross terms more effective and retain the high resolution time frequency resolution, This paper construct a window function to the kernel function of Cohen bilinear time-frequency distribution, thus obtain a improved type of Cohen time-frequency distribution. We achieve good result in extraction of micro Doppler frequency characteristics of human gait.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xi Wang
AU  - Zhuo Chen
AU  - Jiawu He
AU  - Gang Zhu
PY  - 2017/07
DA  - 2017/07
TI  - Application of Improved Cohen Bilinear Time-frequency Distribution for Doppler Motion Feature Extraction
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 145
EP  - 148
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.28
DO  - 10.2991/icadme-17.2017.28
ID  - Wang2017/07
ER  -