GDOP-Assisted Location Estimation Algorithms in Wireless Location Systems

L. Chu, Po-Hsuan Tseng, Kai-Ten Feng
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引用次数: 15

Abstract

In recent years, wireless location estimation has attracted a significant amount of attention in different areas. The network-based location estimation schemes have been widely adopted based on the radio signals between the mobile station (MS) and the base stations (BSs). The two-step Least Square (LS) method has been studied in related research to provide efficient location estimation of the MS. However, the algorithm results in inaccurate location estimation under the circumstances with poor geometric dilution of precision (GDOP). In this paper, the GDOP- assisted location estimation (GOLE) schemes are proposed by considering the geometric relationships between the MS and its associated BSs. According to the minimal GDOP criterion, the BSs are fictitiously repositioned and are served as a new set of BSs within the formulation of the two-step LS algorithm. The proposed GOLE schemes can both preserve the computational efficiency from the two-step LS method and obtain precise location estimation under poor GDOP environments. Comparing with other existing schemes, numerical results demonstrate that the proposed GOLE algorithms can achieve better accuracy in wireless location estimation.
无线定位系统中gdopa辅助的位置估计算法
近年来,无线位置估计在各个领域引起了广泛的关注。基于移动站和基站之间的无线信号的基于网络的位置估计方案已被广泛采用。相关研究研究了两步最小二乘(LS)方法对ms进行有效的定位估计,但该算法在精度几何稀释系数(GDOP)较差的情况下,定位估计不准确。本文提出了一种GDOP辅助定位估计(GOLE)方案,该方案考虑了MS与相关BSs之间的几何关系。根据最小GDOP准则,在两步LS算法的制定过程中,将虚拟的BSs重新定位并作为一组新的BSs。所提出的GOLE方案既能保持两步LS法的计算效率,又能在低GDOP环境下获得精确的位置估计。数值结果表明,本文提出的GOLE算法在无线定位估计中具有较高的精度。
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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