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    National Tsing Hua University Institutional Repository > 研究中心 > 電腦與通訊科技研發中心 > 技術報告 >  Adaptive Mobile Location Estimator with NLOS Mitigation using Fuzzy Inference Scheme

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/12945

    Title: Adaptive Mobile Location Estimator with NLOS Mitigation using Fuzzy Inference Scheme
    Authors: Jung-Feng Liao
    Bor-Sen Chen
    Date: 2005
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Keywords: NLOS
    Federal Communications Commission
    non-line of sight
    base station
    Abstract: This paper proposes a fuzzy line of sight (LOS)/non-line of sight (NLOS) smoother based on an adaptive Kalman filter, which can be used for mobile location estimation with the time of arrival (TOA) measurement data in cellular networks to meet the Federal Communications Commission (FCC) requirement for phase . A fuzzy inference scheme is used by the proposed location estimator to detect LOS condition, NLOS condition or LOS/NLOS transition condition and to estimate the noise covariance via fuzzy interpolation. With an accurate estimation of noise covariance, an adaptive Kalman filter is proposed for the range estimation between the base station (BS) and mobile station (MS). Therefore, the proposed mobile location estimator can efficiently mitigate the NLOS effects of the simulated measurement range error even changing condition between LOS and NLOS. Simulation results demonstrate that the performance of the proposed fuzzy LOS/NLOS smoother is improved significantly over the FCC target in both fixed LOS/NLOS and LOS/NLOS transition condition, and outplays other location estimators employing the Kalman filter and NLOS mitigation techniques.
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/12945
    Appears in Collections:[電腦與通訊科技研發中心] 技術報告
    [通訊工程研究所] 會議論文

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