数据采集与处理2017，Vol.32Issue(4)：684-693,10.DOI:10.16337/j.1004-9037.2017.04.004
知识辅助的多模型机动目标跟踪算法
Knowledge-Aided Multi-model Maneuvering Target Tracking Algorithm
摘要
Abstract
Multi-model algorithm is the state-of-the-art approach to maneuvering target tracking.Due to the increasing types of targets and complication of motion environment,it is more and more difficult to meet the target tracking requirements by only using the position measurement.In addition to the position measurement,the knowledge about targets and their environment can be adopted to adaptively adjust the three key factors,i.e.,the model set,transition probability matrix and model probability in the multimodel algorithm to achieve better performance.This paper analyzes the principles and methods of knowledge-aided multiple-model maneuvering target tracking algorithm.According to the subjects (model set,transition-probability matrix and model probability) that the knowledge being used to adjust,the adjustment manner (intelligent methods and non-intelligent methods),the principles and characteristics of adjustments are introduced,respectively.Finally,future research of knowledge-aided multi-model maneuvering target tracking algorithm is given.关键词
机动目标跟踪/知识辅助多模型算法/模型调整/转移概率矩阵调整/模型概率调整Key words
maneuvering target tracking/knowledge-aided multi-model algorithm/model adjustment/transition-probability matrix adjustment/model probability adjustment分类
信息技术与安全科学引用本文复制引用
黄建军,王全辉,胡坚耀..知识辅助的多模型机动目标跟踪算法[J].数据采集与处理,2017,32(4):684-693,10.基金项目
广东省科技计划(2016B090918084)资助项目 （2016B090918084）
深圳市科技计划(JCYJ2017030215011535)资助项目. （JCYJ2017030215011535）
