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Journal Articles IEEE Journal of Selected Topics in Signal Processing Year : 2009

Joint Particle Filter and UKF Position Tracking in Severe Non-Line-Of-Sight Situations

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Abstract

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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Dates and versions

hal-03573223 , version 1 (14-02-2022)

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Jose M. Huerta, Josep Vidal, Audrey Giremus, Jean-Yves Tourneret. Joint Particle Filter and UKF Position Tracking in Severe Non-Line-Of-Sight Situations. IEEE Journal of Selected Topics in Signal Processing, 2009, 3 (5), pp.874-888. ⟨10.1109/JSTSP.2009.2027804⟩. ⟨hal-03573223⟩
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