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http://dx.doi.org/10.14372/IEMEK.2022.17.3.139

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

Kang, Jong-Sung (Pukyong National University)
Lee, Seung-Ho (Pukyong National University)
Lee, Jeonghan (Pukyong National University)
Yang, YunJi (KT ds.I)
Park, Jaehyun (Pukyong National University)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.17, no.3, 2022 , pp. 139-148 More about this Journal
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
FMCW MIMO Radar; Federated Learning; Motion Recognition using Micro-Doppler Signature;
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