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Measurement fusion of connectivity and received signal strength for indoor localization and tracking
- Authors
- Kim, Hyowon; Kim, Sunwoo
- Issue Date
- Dec-2016
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- 2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016, pp 1 - 3
- Pages
- 3
- Indexed
- SCOPUS
- Journal Title
- 2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016
- Start Page
- 1
- End Page
- 3
- Abstract
- 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.
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Related Researcher
- Kim, Sunwoo
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)