【摘要】：為提高目標航跡姿態(tài)估計的實時性,提出一種基于Jerk模型的航跡姿態(tài)濾波及其新息指導(dǎo)的降維動態(tài)模型庫建立算法。該算法首先基于航跡方位角與航跡橫滾角之間的關(guān)系,將目標三維模型降為二維模型;然后采用Jerk模型算法對航跡姿態(tài)進行濾波,并利用濾波過程中的新息判定目標機動狀態(tài),實時指導(dǎo)動態(tài)模型庫的建立。實驗結(jié)果表明,可有效縮減模型庫的規(guī)模,提高了姿態(tài)角估計的效率,且保持一定的估計精度,是一種有效的動態(tài)模型庫建立算法。
[Abstract]:In order to improve the real-time performance of target trajectory attitude estimation, a new algorithm of path attitude filtering based on Jerk model and its innovation guidance is proposed. Firstly, based on the relationship between track azimuth and track roll angle, the three-dimensional model of the target is reduced to a two-dimensional model. Then the Jerk model algorithm is used to filter the track attitude and the innovation in the filtering process is used to determine the maneuvering state of the target and to guide the establishment of the dynamic model library in real time. The experimental results show that it can effectively reduce the size of the model base, improve the efficiency of attitude angle estimation, and maintain a certain accuracy, so it is an effective algorithm for the establishment of dynamic model base.
【作者單位】： 吉林農(nóng)業(yè)科技學(xué)院電氣與信息工程學(xué)院;東北電力大學(xué)信息工程學(xué)院;
【基金】：吉林省教育科學(xué)重點項目(ZD115088)
【分類號】：TN713;V448

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