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- W2034632686 abstract "In this paper, we propose a distributed, infrastructure-free algorithm for supporting self-localization and location-tracking of portable devices in home networks that do not rely on any positioning infrastructure, such as GPS (Global Positioning System). The proposed algorithm employs the received signal strength (RSS) to estimate the current position of each portable device and then elaborates the position with the box-based sequential Monte Carlo (BSMC) method. Simulation results indicate that the proposed algorithm is superior to the well-received Centroid algorithm [1] in terms of the distance estimation error." @default.
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- W2034632686 date "2010-01-01" @default.
- W2034632686 modified "2023-09-23" @default.
- W2034632686 title "Sequential Monte Carlo Filtering for Location Estimation in Indoor Wireless Environments" @default.
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- W2034632686 doi "https://doi.org/10.1109/ccnc.2010.5421650" @default.
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