Monte Carlo sampling based in-home location tracking with minimal RF infrastructure requirements

Abstract

The paper describes research towards a system for locating users in a home environment requiring only a minimal wireless infrastructure. The only sensor reading used for the location estimation is the radiofrequency received signal strength indication (RSSI) measured by an RF interface (e.g., Wi-Fi). Location estimates are computed using Bayesian filtering… (More)
DOI: 10.1109/GLOCOM.2004.1379045

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