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Base station identification in single frequency network positioning system using fuzzy logic technique

机译：单频网络定位系统中基于模糊逻辑的基站识别

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摘要

Owing to the characteristic of single frequency network and passive location, base station (BS) identification becomes a prominent problem when the digital TV (DTV) signal is utilised for positioning. In this work, a universal BS identification algorithm by fuzzy logic is proposed for any DTV standard. First, all possible time of arrival (TOA)–BS relationship arrangement sets are obtained with the knowledge of permutation and combination. Then all degrees of the membership about measurement model input obtained from possible TOA–BS relationship set are calculated and compared to obtain accurate BS identification result. In order to extend the application range to non-line-of-sight scenarios, a position validation based on aerodynamic kinematics model is introduced to validate the position estimation obtained from the position estimation method. At last, the validated position estimation parameters are utilised for degree of membership calculation. In order to low the computing complexity, the cluster centre can be determined by the position estimation feedback rather than iteration calculation. It can be considered more effective and economical than any current alternative. Compared with other algorithm, the proposed method has the lowest execute complexity and the most brilliant application prospects. The simulation results demonstrated its robustness and high performance.
机译：由于单频网络和无源定位的特性，当数字电视（DTV）信号用于定位时，基站（BS）识别成为一个突出的问题。在这项工作中，针对任何DTV标准，提出了一种基于模糊逻辑的通用BS识别算法。首先，在排列和组合知识的基础上获得所有可能的到达时间（TOA）-BS关系安排集。然后，计算和比较从可能的TOA-BS关系集中获得的有关测量模型输入的所有隶属度，并进行比较，以获得准确的BS识别结果。为了将应用范围扩展到非视线场景，引入了基于气动运动学模型的位置验证，以验证从位置估计方法获得的位置估计。最后，将经过验证的位置估计参数用于隶属度计算。为了降低计算复杂度，可以通过位置估计反馈而不是迭代计算来确定聚类中心。它可以被认为比任何当前的替代方案更加有效和经济。与其他算法相比，该算法具有最低的执行复杂度和最广阔的应用前景。仿真结果证明了其鲁棒性和高性能。

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  • 来源
    《Wireless Sensor Systems, IET》 |2012年第3期|p.230-237|共8页
  • 作者

    Yan J.; Wu L.;

  • 作者单位

    School of Information Science and Engineering, Southeast University, Nanjing 210096, People's Republic of China;

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