Minimum-entropy estimation in semi-parametric models
Signal Processing - Special issue: Information theoretic signal processing
Joint mobility tracking and handoff in cellular networks via sequential Monte Carlo filtering
IEEE Transactions on Signal Processing
Particle filters for positioning, navigation, and tracking
IEEE Transactions on Signal Processing
Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems
IEEE Transactions on Wireless Communications
3-D Localization Error Analysis in Wireless Networks
IEEE Transactions on Wireless Communications
Mobility Tracking in Cellular Networks Using Particle Filtering
IEEE Transactions on Wireless Communications
An overview of the challenges and progress in meeting the E-911 requirement for location service
IEEE Communications Magazine
Overview of radiolocation in CDMA cellular systems
IEEE Communications Magazine
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The problem of locating a mobile terminal has received significant attention in the field of wireless communications. The wireless location problem is made difficult by nonsymmetric contamination of measured Time of Arrival (TOA) data caused by Non-Line-Of-Sight (NLOS) propagation. In this paper, a novel robust NLOS error mitigation algorithm based on minimum entropy estimation is proposed without prior statistics knowledge of NLOS propagation error. We compare the proposed algorithm with two additional ones, the Normal Least-Squares estimator and the Huber estimator, through MATLAB simulation in different COST 259 channel environment. Results reveal that the proposed algorithm is more robust to NLOS error than the other two, although it is not always superior to the other two on location accuracy.