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Maneuver detection and tracking of a space target based on a joint filter model
Asian Journal of Control ( IF 2.4 ) Pub Date : 2020-02-05 , DOI: 10.1002/asjc.2297
Liu Ye 1 , Zhao Hua 1 , Liu Chuankai 2, 3 , Cao Jianfeng 2, 3 , Wang Junkui 3
Affiliation  

Orbit maneuver of non-cooperative space targets is difficult to detect, and thus greatly affects the accuracy of real-time target tracking. To solve this problem, a joint filter-based algorithm is proposed to detect and track targets with random pulse maneuvering. In the algorithm, the joint filter is constructed using two nonlinear filters. The first is an auxiliary filter that utilizes the kinematic model to predict the target motion and estimate the target movement according to the continuity of Keplerian elements. The other is a primary filter that uses an orbit dynamic model to predict the target motion and utilize the estimated results provided as feedback by the auxiliary filter as the constraints to re-estimate the target orbit in real time. Moreover, simulations were conducted to detect and track non-cooperative space targets with a series of random pulse maneuvers, and thus validate the efficiency of the new algorithm.

中文翻译:

基于联合滤波模型的空间目标机动检测与跟踪

非合作空间目标的轨道机动难以检测,极大地影响了实时目标跟踪的精度。为了解决这个问题,提出了一种基于联合滤波器的算法来检测和跟踪随机脉冲机动目标。在算法中,联合滤波器是使用两个非线性滤波器构建的。第一个是辅助滤波器,它利用运动学模型根据开普勒元素的连续性来预测目标运动并估计目标运动。另一种是初级滤波器,它使用轨道动力学模型来预测目标运动,并利用辅助滤波器作为反馈提供的估计结果作为约束,实时重新估计目标轨道。而且,
更新日期:2020-02-05
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