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Enhanced Signal-Strength-difference Position Method based on an Inversion Propagation Model in Cellular Network

机译:蜂窝网络中基于反向传播模型的增强信号强度差定位方法

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This paper develops a simple and efficient position method based on relative signal-strength prediction, which can be got from an inversion propagation model in cellular networks. The inversion propagation model can predict the propagation loss between any two points along the virtual propagation path from the base-station to mobile-station, which precision has been presented in [1]. So the user's location can be predicted by matching the average signal-strength-difference of the neighboring list in the mobile phone to the coverage prediction differences from multiple base-stations in the appointed area. The effectiveness of the proposed method has been demonstrated by using experiments under various radio environments in Guang Dong, China. It was shown that the enhanced signal-strength-difference position method can locate the user with about the accuracy of 150 m in 67 percentage and 300m in 92 percentage respectively. Despite the result not meeting Federal Communications Commission (FCC) requirements, this method proved to be sufficiently simple and efficient in terms of the computation at burden and network signaling load.
机译:本文提出了一种基于相对信号强度预测的简单有效的定位方法,该方法可以从蜂窝网络的反向传播模型中获得。反演传播模型可以预测从基站到移动台的虚拟传播路径上任意两点之间的传播损耗,其精度已在[1]中提出。因此,可以通过将移动电话中相邻列表的平均信号强度差异与指定区域中多个基站的覆盖范围预测差异进行匹配来预测用户的位置。通过在广东省各种无线电环境下进行的实验证明了该方法的有效性。结果表明,增强的信号强度差位置方法可以分别以67%的150 m和92%的300m的精度定位用户。尽管结果不满足联邦通信委员会(FCC)的要求,但在负担和网络信令负载方面的计算方面,该方法仍被证明足够简单和有效。

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