基于滤波新息指导的降维动态模型库建立算法  

Lower-Dimensional Dynamic Template Library Establishing Under Guidance of Filtering Innovation

作　　者：武青海 曲朝阳[2] 

机构地区：[1]吉林农业科技学院电气与信息工程学院,吉林吉林132101 [2]东北电力大学信息工程学院,吉林吉林132012

出　　处：《电光与控制》2017年第12期56-60,共5页Electronics Optics & Control

基　　金：吉林省教育科学重点项目(ZD115088)

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。To improve the real-time performance of target track pose estimation, an algorithm for establishing dynamic template library with reduced dimensions is proposed on the basis of Jerk-model-based track pose filtering and the guidance of filtering innovation. First, the three-dimensional target model is reduced to a two-dimensional model by use of the relationship between the azimuth angle and roll angle of the track. Then, the track pose is filtered by using Jerk model, and the maneuvering state of target is judged based on the innovation of pose angle filtering, which is used for guiding the establishment of the lower-dimensional dynamic template library in real time. The simulation results demonstrate that the algorithm is effective for dynamic template establishing, which can reduce the size of library, improve the efficiency of pose angle estimation, and keep a certain level estimation precision.

关 键 词：航迹姿态估计 模型库 目标航迹 新息 JERK模型 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]