Zhou, B., Le Kernec, J. , Yang, S. , Fioranelli, F. , Romain, O. and Zhao, Z. (2021) Interferometric Radar for Activity Recognition and Benchmarking in Different Radar Geometries. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1515-1520. ISBN 9781839535406 (doi: 10.1049/icp.2021.0571)
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Abstract
Radar micro-Doppler signatures have been proposed for human activity classification for surveillance and ambient assisted living in healthcare-related applications. A known issue is the performance reduction when the target is moving tangentially to the line-of-sight of the radar. Multiple techniques have been proposed to address this, such as multistatic radar and to some extent, interferometric radar. A simulator is presented to generate synthetic data representative of 8 different radar systems (including configurations as monostatic, multistatic, and interferometric) to quantify classification performances as a function of aspect angles and deployment geometries. This simulator allows an unbiased performance evaluation of the different radar systems. 6 human activities are considered with signatures originating from motion-captured data of 14 different subjects. The results show that interferometric radar data with fusion outperforms the other methods with over 97.6% accuracy consistently across all aspect angles, as well as the potential for simplified indoor deployment.
| Item Type: | Conference Proceedings |
|---|---|
| Additional Information: | The authors would like to thank the British Council 515095884 and Campus France 44764WK – PHC Alliance France-UK for their financial support. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Romain, Professor Olivier and Fioranelli, Dr Francesco and Yang, Dr Shufan and Le Kernec, Dr Julien |
| Authors: | Zhou, B., Le Kernec, J., Yang, S., Fioranelli, F., Romain, O., and Zhao, Z. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
| ISBN: | 9781839535406 |
| Copyright Holders: | Copyright © 2021 The Institution of Engineering and Technology |
| First Published: | First published in IET International Radar Conference 2020: 1515-1520 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
| Related URLs: |
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