Huerta, Jose M. and Vidal, Josep and Giremus, Audrey and Tourneret, Jean-Yves Joint Particle Filter and UKF Position Tracking in Severe Non-Line-Of-Sight Situations. (2009) IEEE Journal on Selected Topics in Signal Processing, vol. 3 (n° 5). pp. 874-888. ISSN 1932-4553
(Document in English)
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Official URL: http://dx.doi.org/10.1109/JSTSP.2009.2027804
The performance of localization techniques in a wireless communication system is severely impaired by biases induced in the range and angle measures because of the non-line-of-sight (NLOS) situation, caused by obstacles in the transmitted signal path. However, the knowledge of the line-of-sight (LOS) or NLOS situation for each measure can improve the final accuracy. This paper studies the localization of mobile terminals (MT) based on a Bayesian model for the LOS-NLOS evolution. This Bayesian model does not require having a minimum number of LOS measures at each acquisition. A tracking strategy based on a particle filter (PF) and an unscented Kalman filter (UKF) is used both to estimate the LOS-NLOS situation and the MT kinetic variables (position and speed). The approach shows a remarkable reduction in positioning error and a high degree of scalability in terms of performance versus complexity.
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