연합 학습 기반 분산 FMCW MIMO Radar를 활용한 모션 인식 알고리즘 개발 및 성능 분석
Development of Federated Learning based Motion Recognition Algorithm using Distributed FMCW MIMO Radars
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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%.
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%.
참고문헌 (4)
- Y. Kim, "Human Detection and Activity Classification Basedon Micro-doppler Signatures Using Deep Convolutional Neural Networks", IEEE Geoscience and Remote Sensing Letters, 13(1), pp.8~12 (2016)
- 28, "2017", ~
- S. Rahman, "Radar Micro-Doppler Signatures of Drones and Birds at K-band and W-band", Scientific Reports, 8(1), pp.1~11 (2018)
- 10, "2015", ~
