A Markov model for dynamic behavior of ToA-based ranging in indoor localization
EURASIP Journal on Advances in Signal Processing
Redpin - adaptive, zero-configuration indoor localization through user collaboration
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
Bandwidth efficient cooperative TDOA computation for multicarrier signals of opportunity
IEEE Transactions on Signal Processing
Adaptive localization techniques in WiFi environments
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Distributed target tracking using signal strength measurements by a wireless sensor network
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Robust mobile terminal tracking in NLOS environments based on data association
IEEE Transactions on Signal Processing
Wireless Personal Communications: An International Journal
TDOA positioning in NLOS scenarios by particle filtering
Wireless Networks
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This paper deals with the problem of radio localization of moving terminals (MTs) for indoor applications with mixed line-of-sight/non-line-of-sight (LOS/NLOS) conditions. To reduce false localizations, a grid-based Bayesian approach is proposed to jointly track the sequence of the positions and the sight conditions of the MT. This method is based on the assumption that both the MT position and the sight condition are Markov chains whose state is hidden in the received signals [hidden Markov model (HMM)]. The observations used for the HMM localization are obtained from the power-delay profile of the received signals. In ultrawideband (UWB) systems, the use of the whole power-delay profile, rather than the total power only, allows to reach higher localization accuracy, as the power-profile is a joint measurement of time of arrival and power. Numerical results show that the proposed HMM method improves the accuracy of localization with respect to conventional ranging methods, especially in mixed LOS/NLOS indoor environments