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논문 기본 정보

자료유형
학술저널
저자정보
권재욱 (Department of IT Engineering, Kyungil University, Gyeongsan 38428, Korea) 조성윤 (Department of Mechanical Automotive Engineering, Kyungil University, Gyeongsan 38428, Korea and NavIn Labs Co., Ltd. Daegu 42284, Korea) 유재준 (Mobility UX Section, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea) 서성훈 (Mobility UX Section, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea)
저널정보
사단법인 항법시스템학회 Journal of Positioning, Navigation, and Timing Journal of Positioning, Navigation, and Timing Vol.13 No.3
발행연도
2024.9
수록면
289 - 299 (11page)
DOI
10.11003/JPNT.2024.13.3.289

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초록· 키워드

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In the Pedestrian Dead Reckoning (PDR)/Global Positioning System (GPS)/Wi-Fi-integrated navigation system for indoor/ outdoor continuous positioning of pedestrians, the process of detecting outliers in measurements is very important. When accurate location information from measurements is used, reliable correction data can be generated during the fusion filtering process. However, abnormal measurements may occur in certain situations, such as indoor/outdoor transitions, which can degrade filter performance and lead to significant errors in the estimated position. To address this issue, this paper proposes a method for detecting outliers in measurements based on Rényi Divergence (RD). When the deviation of the RD value is large, the measurements are considered outliers, and positioning is performed using only pure PDR. Based on experiments conducted with real data, it was confirmed that outliers were effectively detected for abnormal measurements, leading to an improvement in the performance of pedestrian navigation.

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