A New Approach for Locating Mobile Stations under the Statistical Directional Propagation Model

K. Chu, J. Ng, Karl R. P. H. Leung
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引用次数: 13

Abstract

Recently, mobile location estimation is drawing considerable attention in the field of wireless communications. Among different mobile location estimation methods, the one which estimates the location of mobile stations with reference to the wave propagation model is drawing much attention on the grounds that it is applicable to different kinds of cellular network. However the estimation accuracy of the signal propagation model deteriorates as the distance between the mobile station and the receiving base station increases. In view of this, we have designed a new location estimation approach which has divided the location estimation into two phases, the data collection phase and the location estimation phase. In this paper, we report our study of the new location estimation approach. We tested the approach with real life data collected from a major mobile operator of Hong Kong. Results show that the new location estimation approach has improved the existing statistical signal propagation model by 30.94%. This improvement can be further enhanced if more data are collected
基于统计方向传播模型的移动台定位新方法
近年来,移动位置估计在无线通信领域受到广泛关注。在众多的移动基站位置估计方法中,基于波传播模型的移动基站位置估计方法由于适用于不同类型的蜂窝网络而备受关注。然而,信号传播模型的估计精度随着移动基站与接收基站之间距离的增加而下降。鉴于此,我们设计了一种新的位置估计方法,该方法将位置估计分为两个阶段,即数据收集阶段和位置估计阶段。本文报道了一种新的定位估计方法。我们用香港一家主要流动电话营办商收集的真实数据来测试这个方法。结果表明,新的位置估计方法比现有的统计信号传播模型提高了30.94%。如果收集到更多的数据,可以进一步增强这种改进
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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