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Image-enhanced passive tracking of maneuvering targets

机译:图像增强的机动目标被动跟踪

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The design of effective pointing-and-tracking systems is particularly difficult when the target is capable of evasive maneuvers. Traditional approaches employed to detect a change in maneuver acceleration rely on observing changes in the residual error process, which introduces a time lag between the onset of a maneuver and its detection. This problem is exacerbated when only passive bearing measurements are available because measurement localization errors are infinite in one dimension. Earlier studies using active (range and bearing) measurement models have suggested the use of an augmenting imaging sensor to determine target orientation, from which the likely direction of a maneuver acceleration can be inferred. This paper extends these earlier results to the case of passive (bearing only) measurements, again using an augmenting imaging sensor to estimate target orientation. This sequence of orientation measurements is used to infer the onset and direction of a maneuver acceleration. As in these earlier studies, orientation measurements provide significant value in localizing and tracking the target during a maneuver.
机译:当目标能够避免的操纵时,有效的指向跟踪系统的设计特别困难。用于检测机动加速度的变化的传统方法依赖于观察剩余误差过程的变化,这引入了机动启动与其检测之间的时间滞后。当只有被动轴承测量值可用时,此问题会加剧,因为测量定位误差在一个维度中无限。使用活性(范围和轴承)测量模型的早期研究表明使用增强成像传感器来确定目标方向,可以推断出机动加速度的可能方向。本文将这些早期的结果扩展到无源(仅轴承)测量的情况,再次使用增强成像传感器来估计目标方向。这种取向测量序列用于推断出现机动加速的起始和方向。与在这些早期的研究中一样,取向测量在机动期间在定位和跟踪目标时提供显着的值。

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