基于卡尔曼滤波算法的目标跟踪预测  

Target tracking prediction based on Kalman filtering algorithm

作　　者：陆龙驰 LU Longchi(Limited liability company of AVIC Guizhou Aircraft,Anshun,Guizhou 561000,China)

机构地区：[1]中航贵州飞机有限责任公司,贵州安顺561000

出　　处：《计算机应用文摘》2024年第19期112-116,共5页

摘　　要：文章主要对光电跟踪系统中的目标预测问题进行了研究。首先,介绍了目标跟踪的概念及其重要性;其次,对光电目标跟踪系统中采用的卡尔曼滤波理论及其工程应用进行了调研;再次,介绍了基本的滤波预测方法,重点阐述了卡尔曼滤波方法,并与其他常见滤波方法进行了比较;最后,阐述了机动目标跟踪的基本原理及建立了机动目标模型,并完成了相关算法的仿真实验。The article mainly studies the target prediction problem in optoelectronic tracking systems.Firstly,the concept and importance of target tracking were introduced.Secondly,research was conducted on the Kalman filter theory and its engineering applications used in the optoelectronic target tracking system.Once again,the basic filtering prediction methods were introduced,with a focus on the Kalman filtering method,which was compared with other common filtering methods.Finally,the basic principles of maneuvering target tracking were explained,and a maneuvering target model was established.Simulation experiments of related algorithms were also completed.

关 键 词：光电目标跟踪 卡尔曼滤波 机动目标模型 

分 类 号：TN961[电子电信—信号与信息处理]