Positioning using time-difference of arrival measurements
Positioning using time-difference of arrival measurements
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DOI：
10.1109/icassp.2003.1201741
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发表时间：
2003-04
期刊：
影响因子：
--
通讯作者：
F. Gustafsson;F. Gunnarsson
中科院分区：
文献类型：
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作者：
F. Gustafsson;F. Gunnarsson
从到达时间差（TDOA）测量的位置估计问题出现在从无线通信网络到电子战定位的一系列应用中。发送到两个接收器的信号的相关分析产生一个双曲线函数。使用两个以上的接收器，我们可以计算更多的双曲函数，它们理想地相交于一个唯一点。在TDOA测量不确定的情况下，我们面临着一个非线性的估计问题。我们建议和比较基于蒙特卡罗的定位方法和梯度搜索算法，使用非线性最小二乘框架。前者具有易于扩展到动态框架的特点，其中包括发射机的运动模型。一个小的模拟研究。
The problem of position estimation from time difference of arrival (TDOA) measurements occurs in a range of applications from wireless communication networks to electronic warfare positioning. Correlation analysis of the transmitted signal to two receivers gives rise to one hyperbolic function. With more than two receivers, we can compute more hyperbolic functions, which ideally intersect in one unique point. With TDOA measurement uncertainty, we face a non-linear estimation problem. We suggest and compare a Monte Carlo based method for positioning and a gradient search algorithm using a nonlinear least squares framework. The former has the feature of being easily extended to a dynamic framework where a motion model of the transmitter is included. A small simulation study is presented.