Implementation of Particle Filtering in TDOA Positioning

Authors

  • Z. Manap Faculty of Engineering Technology (FTK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia. Centre for Telecommunication Research and Innovation (CeTRI), Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia
  • A. A. M. Isa Centre for Telecommunication Research and Innovation (CeTRI), Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia
  • A. S. Mohd Zain Centre for Telecommunication Research and Innovation (CeTRI), Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia
  • A. M. Darsono Centre for Telecommunication Research and Innovation (CeTRI), Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia
  • M. H. Othman Centre for Telecommunication Research and Innovation (CeTRI), Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia

Keywords:

TDOA Positioning, Particle Filtering, NLOS environment, Circular Scatterers,

Abstract

This paper describes the implementation of particle filtering (PF) estimation method in TDOA positioning to mitigate the effect of NLOS signal propagation on the TDOA measurements. The measurement errors were modelled according to the circular disk scatter model (CDSM) ranging from 0 to 600 m. In this paper, we consider static PF which uses one TDOA measurement to estimate one fixed MT position. The network layout is set up with five base stations (BS) that resolve to a total of ten measured TDOAs in every PF iteration. The performance of the static PF was compared to two basic estimation methods namely robust intersection estimation (RIE) and linear least square (LLS). The simulation results show the stability of static PF over a wide range of measurement errors and giving an almost constant estimation error at various CDSM radiuses. Static PF outperforms RIE and LLS with the estimation error of less than 40 m and 60 m for 67% and 90% of the time respectively.

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Published

2018-07-05

How to Cite

Manap, Z., Isa, A. A. M., Mohd Zain, A. S., Darsono, A. M., & Othman, M. H. (2018). Implementation of Particle Filtering in TDOA Positioning. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-8), 103–107. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4469

Issue

Vol. 10 No. 2-8: Embracing The 4th Industrial Revolution: Innovation in Telecommunication, Electronic & Computer Engineering IV

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Articles

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