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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Mobile station positioning using GSM cellular phone and artificial neural networks
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Mobile station positioning using GSM cellular phone and artificial neural networks

机译：使用GSM蜂窝电话和人工神经网络的移动台定位

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摘要

In this paper, we describe a novel approach to mobile station positioning using a GSM mobile phone. The approach is based on the use of an inherent feature of the GSM cellular system (the mobile phone continuously measures radio signal strengths from a number of the nearest base stations (antennas)) and on the use of this information to estimate the phone's location. The current values of the signal strengths are processed by a trained artificial neural network executed at the computer attached to the mobile phone to estimate the position of the mobile station in real time. The neural network configuration is obtained by using a genetic algorithm that searches the space of specific neural network types and determines which one provides the best location estimation results. Two general methods are explored: the first is based on using a neural network for classification and the second uses function approximation. The experimental results are reported and discussed.
机译：在本文中，我们描述了一种使用GSM手机定位移动台的新颖方法。该方法基于GSM蜂窝系统的固有功能（移动电话不断测量来自多个最近基站（天线）的无线电信号强度），并基于此信息来估计电话的位置。信号强度的当前值由受过训练的人工神经网络处理，该人工神经网络在连接到移动电话的计算机上执行，以实时估算移动台的位置。通过使用一种遗传算法获得神经网络配置，该遗传算法搜索特定神经网络类型的空间并确定哪种类型提供最佳位置估计结果。探索了两种通用方法：第一种基于使用神经网络进行分类，第二种基于函数逼近。实验结果进行了报道和讨论。

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