一种双平台多目标纯方位关联定位方法

Tao Jiang, Ganggang Tu, Jiutao Wu
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引用次数: 0

摘要

单被动平台要实现目标定位仅靠方位测量是不容易的,除非进行费时费力的机动。相比之下,两个平台可以简单地通过三角测量方法实现精确的目标定位,而不需要平台机动。然而,这种双平台方法在多目标场景中引入了平台间关联问题,即应该识别和排除由错误配对方向产生的假目标。为了解决这一问题,本文提出了一种基于目标运动分析(TMA)的方法。该方法通过对所有可能目标的预tma,计算出所有可能目标(真实或虚假)的置信系数,然后将其用于平台间方位关联并选择真实目标。利用蒙特卡罗技术进行了仿真验证。结果表明,该方法能够实现准确的平台间多目标数据关联和多目标定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method of multi-target bearings-only association and location with two platforms
It is not easy for a single passive platform to realize target location by just bearings-only measurements, unless it carries a time-consuming laborious maneuvering. By contrast, with two platforms we could simply achieve accurate target location through triangulation approach without the need of platform maneuvering. However, this two-platform approach introduces an inter-platform association problem in multi-target scenarios, that is, one should recognize and exclude the false targets generated from wrongly paired bearings. To solve this, in this paper, a target motion analysis (TMA) based approach is proposed. Through a pre-TMA of all possible targets, the method calculates the confidence coefficients of all possible targets for recognition (real or false), which are then used to associate inter-platform bearings and select real targets. Simulation verification is performed through using Monte Carlo technique. The result demonstrates that the proposed method can achieve accurate inter-platform multi-target data association and multi-target location.
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