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Sequential multiple-model detection of target maneuver termination

机译:目标机动终止的顺序多模型检测

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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:尽管用于目标机动开始检测(MOD)的方法比比皆是,但是很少有人提出用于目标机动终止检测(MTD)的方法,因为MOD更容易并且被认为更重要。但是,如果没有MTD,基于决策的机动目标跟踪将无法完成,并且可能会遭受性能下降和计算浪费的困扰。本文提出了在多模型框架下对MTD进行顺序测试的方法。采用著名的CUSUM和SSPRT来检测机动终止,并且通过交互多模型(IMM)估计器的输出来近似这两个测试中涉及的似然函数,该模型是机动目标跟踪中使用最广泛的算法之一。提供了一个说明性示例,仿真结果证明了我们算法的适用性。

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