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Measurement fusion of connectivity and received signal strength for indoor localization and tracking
- Kim, Hyowon;
- Kim, Sunwoo
Citations
SCOPUS
0초록
The range-free localization suffers from unstable connectivity information between wireless devices. To overcome this, we propose a Markov Chain Monte Carlo particle filter (MCMC PF)-based mobility tracking algorithm assisted by received signal strength (RSS) information. The range-free localization results and RSS measurements are used in the tracking algorithm. From MATLAB simulation, we confirm the performance of the proposed tracking algorithm compensating the defect of the range-free localization, and the efficient indoor mobility tracking in a realistic indoor environment has been demonstrated.
키워드
Markov processes; MATLAB; Monte Carlo methods; Tracking (position); Connectivity information; Indoor environment; Indoor localization; Markov Chain Monte-Carlo; Matlab simulations; Measurement fusion; Range free localization; Received signal strength; Indoor positioning systems
- 제목
- Measurement fusion of connectivity and received signal strength for indoor localization and tracking
- 저자
- Kim, Hyowon; Kim, Sunwoo
- 발행일
- 2016-12
- 유형
- Conference Paper
- 저널명
- 2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016
- 페이지
- 1 ~ 3
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- 발행국가
- 미국
- 분량
- 3 페이지