摘要
为了提升对机动目标跟踪的稳定性和精度,利用卡尔曼滤波技术,对测角信息和时差信息进行序贯融合,将二者对目标的跟踪信息融合起来,同时将冗余的测量信息进行融合,实现对机动目标的稳定跟踪,并提高目标跟踪精度。最后,根据序贯融合算法进行仿真分析,结果表明,相对于AOA和TDOA两种方法,该融合算法可以有效提升机动目标跟踪的稳定性和精度。为复杂战场环境下多平台定位跟踪系统的设计提供重要参考。
In order to promote the stability and accuracy of maneuvering target tracking,this paper using kalman filter technology,sequential lateral jet lag angle information and information fusion,the track of target information fusion up,fused measurement information redundancy the implementation of the stability of the maneuvering target tracking,and improve the target tracking accuracy.Finally,the simulation analysis based on sequential fusion algorithm shows that compared with AOA and TDOA,the fusion algorithm can effectively improve the stability and accuracy of maneuvering target tracking.
出处
《工业控制计算机》
2020年第7期122-124,147,共4页
Industrial Control Computer
关键词
目标跟踪
卡尔曼滤波
序贯融合
仿真分析
target tracking
Kalman filter
sequential fusion
simulation analysis
