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

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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https://hal.archives-ouvertes.fr/hal-00400733
Contributor : Audrey Giremus <>
Submitted on : Wednesday, July 1, 2009 - 3:46:04 PM
Last modification on : Sunday, June 14, 2020 - 3:28:16 AM

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  • HAL Id : hal-00400733, version 1

Citation

José 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, IEEE, 2009, pp.874 - 888. ⟨hal-00400733⟩

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