博碩士論文 110553021 完整後設資料紀錄

DC 欄位	值	語言
DC.contributor	通訊工程學系在職專班	zh_TW
DC.creator	彭品皓	zh_TW
DC.creator	Pin-Hao Peng	en_US
dc.date.accessioned	2023-8-14T07:39:07Z
dc.date.available	2023-8-14T07:39:07Z
dc.date.issued	2023
dc.identifier.uri	http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=110553021
dc.contributor.department	通訊工程學系在職專班	zh_TW
DC.description	國立中央大學	zh_TW
DC.description	National Central University	en_US
dc.description.abstract	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。	zh_TW
dc.description.abstract	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.	en_US
DC.subject	交互多模型演算法	zh_TW
DC.subject	雷達	zh_TW
DC.subject	飛彈攔截	zh_TW
DC.subject	轉向率	zh_TW
DC.title	以交互多模型演算法使用飛彈之非線性雷達量測訊號攔截閃躲目標	zh_TW
dc.language.iso	zh-TW	zh-TW
DC.title	Intercepting the Maneuvering Target for a Missile Using the IMM Algorithm with Nonlinear Radar Measurement	en_US
DC.type	博碩士論文	zh_TW
DC.type	thesis	en_US
DC.publisher	National Central University	en_US