a

O. Filatova, L. Chempalova, L. Vaseckaya, E. Mel'nikova
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Abstract

Accurate remote determination of the object coordinates in 3D space is one of the main questions in many applications. In one of the most popular methods, such determination of the location of an object uses the measurement by receiving an electromagnetic signal transmitted by several spatially distributed base stations (BS). The main problem is that it is necessary to reduce errors and computation time. To overcome these difficulties, an analytical method for determining the position of an object based on the analysis of time difference of arrival (TDoA) of signals from the transmitter of the object to the receivers of the BS is proposed. One of the main advantages of this method is that it is possible to eliminate the ambiguity in determining the coordinates of the object in space and to increase the accuracy of determining the coordinates when the TDoA measurement between base stations fluctuates. Applications for autonomous automotive vehicles and space-based positioning systems are analyzed. The results obtained show that the proposed algorithm has an accuracy of determining coordinates several times higher than the method of linearization of hyperbolic equations and is less sensitive to TDoA fluctuations at base stations.
一个
在三维空间中精确地远程确定目标坐标是许多应用中的主要问题之一。在最流行的方法之一中,这种确定物体位置的方法是通过接收由几个空间分布的基站(BS)发射的电磁信号来测量。主要问题是需要减少误差和计算时间。为了克服这些困难,提出了一种基于目标发射机到接收机信号的到达时间差(TDoA)分析来确定目标位置的分析方法。该方法的主要优点之一是可以消除确定空间目标坐标时的模糊性,提高基站间TDoA测量波动时确定坐标的精度。分析了自动驾驶汽车和天基定位系统的应用。结果表明,该算法的坐标确定精度比双曲方程线性化方法高数倍,且对基站TDoA波动的敏感性较低。
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