火力与指挥控制2017，Vol.42Issue(3)：137-140,4.
用于机动目标跟踪的自适应交互式多模型算法
Adaptive Interacting Multiple Model Algorithm for Maneuvering Target Tracking
摘要
Abstract
Aiming at the problem that the current statistical model has not a good performance on tracking non- maneuvering targets,the adaptive interacting multiple model algorithm based on modified current statistical model and constant velocity model is proposed.The algorithm could online modify the extreme value of acceleration and the variance of process noise in current statistical model,and the adaptability of current statistical model is improved. Meanwhile,maneuvering detection is introduced to restrain the filter divergence of the normal the constant velocity model,and tracking performance is enhanced for sudden maneuvering targets by introducing a strong track filter algorithm. The simulation results show that the algorithm takes full advantage of the current statistical model and the interactive multiple model algorithm,and has a good performance both on weak and strong maneuvering targets.关键词
机动目标跟踪/交互式多模型/"当前"统计模型/机动检测Key words
maneuvering target tracking/interacting multiple model algorithm/current statistical model/maneuvering detection分类
信息技术与安全科学引用本文复制引用
王越,周德云,刘建生,赵凯,杨维..用于机动目标跟踪的自适应交互式多模型算法[J].火力与指挥控制,2017,42(3):137-140,4.基金项目
军队"十二五"专项预研基金资助项目(40404060102) （40404060102）
