Joint Particle Filter and UKF Position Tracking Under Strong NLOS Situation

  • Authors:
  • Jose M. Huerta;Audrey Giremus;Josep Vidal;Jean-Yves Tourneret

  • Affiliations:
  • TSC/UPC, C/ Jordi Girona, 1-3 (Campus Nord - D5) 08034 Barcelona (Spain);UMR 5218/IMS-département LAPS 351 cours de la libération, 33405 Talence Cedex (France);TSC/UPC, C/ Jordi Girona, 1-3 (Campus Nord - D5) 08034 Barcelona (Spain);IRIT/ENSEEIHT/TéSA, 2 rue Charles Camichel, BP 7122, 31071 Toulouse cedex 7 (France)

  • Venue:
  • SSP '07 Proceedings of the 2007 IEEE/SP 14th Workshop on Statistical Signal Processing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The location performance within a wireless communication system is severely impaired by biases introduced in the range measures because of the Non-Line-Of-Sight (NLOS) condition, caused by obstacles in the transmitted signal path. Usually not all the base stations (BS) are in NLOS, and the knowledge of the LOS-NLOS situation for each measure can improve the final positioning accuracy [6]. This paper studies the use of a Particle Filter (PF) to track the LOS-NLOS situation for each BS. A Rao-Blackwellized approach is used to estimate both the position, by an appropriate Unscented Kalman Filter (UKF), and the situation, by a PF. The approach shows a remarkable reduction in positioning error and a high degree of scalability in terms of performance versus complexity.