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Sequential Multiple-Model Detection of Target Maneuver Termination

机译:序列多模型检测目标机动终端

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Although methods for target maneuver onset detection (MOD) abound, few have been proposed for target maneuver termination detection (MTD), since MOD is easier and considered more important. Without MTD, however, decision based maneuvering target tracking is not complete and may suffer from performance degradation and computational waste. This paper proposes sequential testing methods for MTD in the multiple model framework. The celebrated CUSUM and SSPRT are adopted to detect maneuver termination, and the likelihood functions involved in these two tests are approximated by the outputs of the interacting multiple model (IMM) estimator, which is one of the most widely used algorithms for maneuvering target tracking. An Illustrative example is provided and the simulation results demonstrate the applicability of our algorithms.
机译:尽管针对目标机动发作检测的方法比比皆是,但是已经提出了用于目标机动终止检测(MTD)的方法,因为MOD更容易并认为更重要。然而,没有MTD,基于决策的机动目标跟踪不完整,并且可能遭受性能下降和计算浪费。本文提出了多模型框架中MTD的顺序测试方法。庆祝的CUSUM和SSPRT被采用来检测机动终止,并且这两个测试中涉及的可能性函数由交互多模型(IMM)估计器的输出近似,这是用于机动目标跟踪的最广泛使用的算法之一。提供了说明性示例,并且模拟结果展示了我们算法的适用性。

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