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通过对目标的不确定机动分析和对不确定机动的模式分类(非机动、临界机动、弱机动、强机动),建立了一种新的目标状态自适应估计器——交互作用的双自适应模型估计器。它通过具有机动识别特性的二阶自适应模型和具有机动水平特性的三阶自适应模型,以及它们之间交互作用自适应组合方式的结合,达到了跟踪估计目标各种运动的“全面”自适应能力。应用新估计器对目标的5种基本运动进行了Monto-carlo仿真。仿真表明,它具有所期望的良好性能。
By analyzing the uncertain maneuvering of targets and the classification of uncertain maneuvers (non-maneuvering, critical maneuvering, weak maneuvering and strong maneuvering), a new adaptive adaptive target estimator-double adaptive Model Estimator. Through the combination of the second-order adaptive model with maneuvering recognition characteristic and the third-order adaptive model with maneuvering level characteristic and the adaptive combination of interaction between them, it achieves the goal of tracking the “all-round” adaptability. The new estimator was used to simulate the target’s five basic motions. Simulation shows that it has the desired good performance.