基于TDOA的IRLS定位算法

Kyunghyun Lee, Hyungkwan Kwon, K. You
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引用次数: 3

摘要

利用无线信号处理系统的地理定位方法在许多工业领域得到了广泛的应用。到达时差(TDOA)法是最常用的地理定位方法之一。基于TDOA信号的地理定位系统可以通过在二维空间中使用至少三个基站来估计移动目标的位置。在地理定位问题中,手机位置的精确估计是最重要的问题。在移动地理定位中,测量TDOA数据中包含的测量噪声会导致估计不准确。本文利用L范数近似的概念,建立了表示位置估计标量误差的目标函数。此外,我们还提出了迭代重加权最小二乘(IRLS)方案来实现目标函数的最小化。通过IRLS方案的重加权迭代过程,可以利用有限的测量数据得到最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TDOA based geolocation using IRLS algorithm
The geolocation method using the wireless signal processing system is widely used in many industrial areas. The time difference of arrival (TDOA) method is one of the most commonly used geolocation methods. The TDOA signal based geolocation system can estimate the position of a mobile object by using at least three base stations in two dimensional space. In geolocation problem, the precise estimation of mobile's position is the most significant issue. The measurement noise that is contained in measured TDOA data causes the estimation inaccuracy in a mobile geolocation. In this paper, the objective function that represents the scalar error of position estimation is formulated using the concept of L -norm approximation. Also we suggest the iterative reweighted least square (IRLS) scheme for minimizing of the objective function. The optimal solution can be obtained using the limited measurement data through the reweighted iteration process of the IRLS scheme.
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