基于滤波新息指导的降维动态模型库建立算法

发布时间：2018-11-14 08:37

【摘要】：为提高目标航迹姿态估计的实时性,提出一种基于Jerk模型的航迹姿态滤波及其新息指导的降维动态模型库建立算法。该算法首先基于航迹方位角与航迹横滚角之间的关系,将目标三维模型降为二维模型;然后采用Jerk模型算法对航迹姿态进行滤波,并利用滤波过程中的新息判定目标机动状态,实时指导动态模型库的建立。实验结果表明,可有效缩减模型库的规模,提高了姿态角估计的效率,且保持一定的估计精度,是一种有效的动态模型库建立算法。
[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.
【作者单位】：吉林农业科技学院电气与信息工程学院;东北电力大学信息工程学院;
【基金】：吉林省教育科学重点项目(ZD115088)
【分类号】：TN713;V448

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