무선 주파수 신호와 단말 내장 센서를 이용한 심층 신경망 기반 융합 측위 기법

다국어 초록 (Multilingual Abstract)

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.

목차 (Table of Contents)

• Abstract
• I. 서론
• II. 기존의 단일 측위 기법
• III. 심층 신경망 기반 융합 측위 기법
• IV. 시뮬레이션 결과
• V. 결론
• 참고문헌