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무선 주파수 신호와 단말 내장 센서를 이용한 심층 신경망 기반 융합 측위 기법
이현욱(Hyunwook Lee),임채훈(Chaehun Im),장수환(Suhwan Jang),이충용(Chungyong Lee) 대한전자공학회 2021 대한전자공학회 학술대회 Vol.2021 No.6
We propose an enhanced pedestrian localization based on a deep neural network. The input of DNN comprises estimated positioning parameters from built in sensors of mobile devices and radio frequency signal, such as step information, heading, and distances between device and access points (APs). By adopting DNN, the limitations of existing probability-based method, computation complexity and noise variance knowledge requirement, can be releaved. Moreover, simulation results show that the proposed localization method is more precise than the comparative method.