本論文研究在提升飛彈雷達尋標器對於機動可規避性移動能力目標的追蹤表現，比較不同運動模型下雷達追蹤的均方根誤差(Root Mean Square Error,RMSE)。本文運用交互多模型擴展式卡爾曼濾波器(Interacting Multiple Model Extended Kalman Filter,IMMEKF)，處理非線性雷達量測訊號，再透過座標轉彎、常速度、等加速度，三種運動模型機率混合得出最佳估計值，攔截目標。
本文模擬軟體程式使用Matlab，建立三維模擬環境，相同參數設定下比較使用三種運動模型、二種運動模型、一種運動模型追蹤機動可規避性移動目標，透過模擬結果得知，本文所提導引控制方式有提升追蹤攔截機動可規避性移動目標的效果。

This paper aims to improve the tracking performance of missile radar seekers against maneuverable evasive targets. Root Mean Square Error (RMSE) of radar tracking under different motion models was compared. The Interacting Multiple Model Extended Kalman Filter (IMMEKF) was used to process nonlinear radar measurement signals. The best estimate was obtained by mixing three motion models: coordinated turn, constant velocity, and constant acceleration, and intercepting the target.
Matlab was used to build a three-dimensional simulation environment, and three, two, and one motion model were compared under the same parameter setting to track maneuverable evasive targets. Simulation results show that the proposed guidance control method improves the effectiveness of tracking and intercepting maneuverable evasive targets.

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