基于最小可能误差边界的到达时间差算法中接收机的优先排序

Sourav Kaity, Biswapati Jana, P. K. Gupta, Lalatendu Das
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引用次数: 0

摘要

采用到达时间差(TDOA)技术对目标进行定位,这是一种应用广泛的被动目标跟踪技术。通过对两个不同的接收机接收到的信号应用互相关技术,可以形成一个双曲方程。在至少四个接收站的帮助下,由双曲方程可以得到一个唯一的交点,该交点可以精确地给出目标的位置。目标位置的精度取决于接收机相对于目标位置的几何位置。用7个数进行了仿真研究,建立了目标位置测量误差与平均距离差误差之间的唯一关系。利用上述关系,可以对接收器进行优先排序,并将四个接收器放置在最佳地理位置。通过考虑4个高优先级接收机,可以实现最小的目标位置测量误差。重点研究了目标位置测量的误差边界、误差因子与目标距离的关系。很明显,误差因子随目标距离呈线性变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prioritization of Receivers for Minimum Possible Error Boundary in Time Difference of Arrival Algorithm
Time difference of arrival (TDOA), a widely used passive target tracking technique, is used to derive the position of the target. By applying cross-correlation techniques on signals received by two different receivers one hyperbolic equation can be formed. With the help of a minimum four receiving stations, a unique intersecting point can be derived from hyperbolic equations which give the position of a target precisely. The accuracy of the target position depends upon the geometric location of the receivers with respect to the target location. A simulation study was carried out with seven numbers of a unique relation between target position measurement errors with the average range difference error is established. With the help of the above relation, receivers can be prioritized and four receivers could be placed in best geographical locations. By considering four high prioritized receivers minimum target position measurement error could be achieved. An attempt was focused to draw the error boundary, error factor of target position measurement with the range of the target. And it is clear that the error factor is varying linearly with the range of the target.
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