DOI QR코드

DOI QR Code

Development of Federated Learning based Motion Recognition Algorithm using Distributed FMCW MIMO Radars

연합 학습 기반 분산 FMCW MIMO Radar를 활용한 모션 인식 알고리즘 개발 및 성능 분석

  • Received : 2021.08.30
  • Accepted : 2022.01.16
  • Published : 2022.06.30

Abstract

In this paper, we implement a distributed FMCW MIMO radar system to obtain Micro Doppler signatures of target motions. In addition, we also develop federated learning based motion recognition algorithm based on the Micro-Doppler radar signature collected by the implemented FMCW MIMO radar system. Through the experiment, we have verified that the proposed federated learning based algorithm can improve the motion recognition accuracy up to 90%.

Keywords

Acknowledgement

이 논문은 부경대학교 자율창의학술연구비 (2021년)에 의하여 연구되었습니다.

References

  1. Y. Kim, T. Moon, "Human Detection and Activity Classification Basedon Micro-doppler Signatures Using Deep Convolutional Neural Networks," IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 1, pp. 8-12, 2016. https://doi.org/10.1109/LGRS.2015.2491329
  2. H. Brendan, McMahan Eider, Moore Daniel, Ramage Seth, Hampson, Blaise Aguera y Arcas, "Communication-Efficient Learning of Deep Networks from Decentralized Data," in arXiv:1602.05629v3 [cs.LG] 28 Feb 2017.
  3. S. Rahman, D. A. Robertson, "Radar Micro-Doppler Signatures of Drones and Birds at K-band and W-band," Scientific Reports Vol. 8, No. 1, pp. 1-11, 2018.
  4. K. Simonyan, A. Zisserman, "Very Deep Convolutional Networks for Large-Scale Image Recognition" in arXiv:1409.1556v6 [cs.CV] 10 Apr 2015.