Ranking of TOA Measurements Based on the Estimate of the NLOS Propagation Contribution in a Wireless Location System

  • Authors:

  • Santiago Mazuelas;Francisco A. Lago;Patricia Fernandez;Alfonso Bahillo;Juan Blas;Ruben M. Lorenzo;Evaristo J. Abril

  • Affiliations:

  • CEDETEL (Center for the Development of Telecommunications), Edificio Solar, Parque Tecnologico de Boecillo, Boecillo, Spain 47151;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain 47011;CEDETEL (Center for the Development of Telecommunications), Edificio Solar, Parque Tecnologico de Boecillo, Boecillo, Spain 47151;CEDETEL (Center for the Development of Telecommunications), Edificio Solar, Parque Tecnologico de Boecillo, Boecillo, Spain 47151;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain 47011

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

The presence of non-line-of-sight (NLOS) propagation is a key issue that limits the accuracy of wireless location systems. The lack of direct sight causes the measurements obtained by location systems to be so unpredictable that they can produce high inaccuracies in the estimation of the mobile station location. In this paper we propose a novel technique to improve location reliability and accuracy in cases where NLOS propagation is present. For that, in registers of time of arrival (TOA) measurements taken from each base station (BS) in view, we detect the presence of NLOS propagation and estimate the ratio of the measurements coming from NLOS propagation. With this estimate we can assess how much is NLOS propagation affecting the measurements taken from each BS and then we can identify the best measurements and BSs to achieve the highest accuracies in location.