In this work, an improved interactive multiple model-based smoothing algorithm is proposed for tracking and interception of a maneuvering target. The smoothed states are obtained at some past scan ( $$k-N$$ k - N ), but the target interception happens at the current scan. This helps to obtain the real-time benefits of the smoothing. Fixed-lag smoothing interactive multiple model algorithm is employed to follow the target more precisely. Real-time benefit of smoothing is used to improve the decision making in order to achieve better target interception before it reaches its desired destination. Three different simulation environments have been used to analyze the performance and validity of the proposed algorithm. The simulation results are further extended to compare each case in terms of hit error and root-mean-square error.

中文翻译：

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一种用于机动目标的固定滞后平滑交互式多模型跟踪拦截系统

在这项工作中，提出了一种改进的基于交互式多模型的平滑算法来跟踪和拦截机动目标。平滑状态是在过去的某个扫描 ( $$kN$$ k - N ) 中获得的，但目标拦截发生在当前扫描。这有助于获得平滑的实时好处。采用固定滞后平滑交互多模型算法，更精确地跟踪目标。平滑的实时优势用于改进决策，以便在目标到达所需目的地之前实现更好的目标拦截。已使用三种不同的仿真环境来分析所提出算法的性能和有效性。模拟结果进一步扩展到在命中误差和均方根误差方面比较每种情况。