Numerical methods using MATLAB
Numerical methods using MATLAB
Wireless Location in CDMA Cellular Radio Systems
Wireless Location in CDMA Cellular Radio Systems
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
LANDMARC: Indoor Location Sensing Using Active RFID
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Factor-Graph Algorithms for Equalization
IEEE Transactions on Signal Processing
Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems
IEEE Transactions on Wireless Communications
Network-side mobile position location using factor graphs
IEEE Transactions on Wireless Communications
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
Indoor geolocation science and technology
IEEE Communications Magazine
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A low-complexity and accurate receive-signal-strength(RSS)-based algorithm is proposed to estimate a target location. To achieve the aim of low complexity, a local linearization technique based on the local linearity in the surface of power decay profile (PDP), established by training logarithmic RSS measurements and collected from each individual access point (AP), was devised. To achieve a near-optimum solution, the stochastic properties of measurement errors and the reliability of the measurement data are introduced into the factor graph framework. Numerical experiments show that the proposed algorithm not only achieves a near maximum likelihood (ML) solution based on training RSS measurements, but also enjoys low complexity.