1st International ICST Conference on Communications and Networking in China

Research Article

A New Approach for Cellular Wireless Location In NLOS Situations

  • @INPROCEEDINGS{10.1109/CHINACOM.2006.344877,
        author={Jianhui  Wang and  Lichun  Li and  Hanying  Hu},
        title={A New Approach for Cellular Wireless Location In NLOS Situations},
        proceedings={1st International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2007},
        month={4},
        keywords={mobile location NLOS biased Kalman filter},
        doi={10.1109/CHINACOM.2006.344877}
    }
    
  • Jianhui Wang
    Lichun Li
    Hanying Hu
    Year: 2007
    A New Approach for Cellular Wireless Location In NLOS Situations
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2006.344877
Jianhui Wang1,2,*, Lichun Li1,2, Hanying Hu1,2
  • 1: Institute of Information Engineering, Dep. of Commun. Engineering,
  • 2: ZhengZhou 450002, P.R.China
*Contact email: apple830522@163.com

Abstract

The non-line-of-sight (NLOS) propagation caused by intermittently blocking of the direct path between the base station and the mobile station is the main difficulty for mobile user location in cellular wireless communication system. So it is indispensable to investigate the techniques about the NLOS error identification and correction. In this paper, we suggest a robust and accurate approach using probability density function (PDF) estimator to identify the NLOS situation, and then an improved biased Kalman filter which depends on PDF estimator as the nonlinearity weighting coefficient in recursive operation is used to mitigate the NLOS error for time of arrival (TOA) measurements. As the PDF estimator is calculated from actual TOA samples, it is adaptive for the complex practical NLOS environments. The simulation results also indicate that with the less prior information about communication environments, the approach we present has a good location performance even in severe NLOS situations.