海军航空工程学院学报2016，Vol.31Issue(4)：430-436,7.DOI:10.7682/j.issn.1673-1522.2016.04.005
基于模板匹配的集中式多传感器群内目标精细跟踪算法
Centralized Multi-Sensor Refined Tracking Algorithm within Targets Inside Cluster Based on Template Matching
摘要
Abstract
Aiming to solve the track refined tracking problem of the targets inside cluster with the multi-sensor detections, based on the relative invariant of the actual positons of the targets inside cluster in each detection period, a new algorithm named centralized multi-sensor refined tracking algorithm within targets inside cluster based on template matching was proposed. In the algorithm, the template shape matrix and the shape matrix to be matched were respectively obtained with the previous associated group state set and group measurement set. The least-cost matching matrix was obtained with the matching search model and the matching matrix validation rules. Moreover, based on the template and the corresponding matching matrix, the state update of each track within the targets inside cluster was completed with the Kalman filter. The analysis results of the simulation data showed that obvious advantages of this algorithm were esrablished in the aspects of tracking accuracy, real-time performance and effective tracking rate, compared with the multisensor multipled hypothesis algorithm based on data compressing technic which waqs a superior performance algorithm in the traditional multi-sensor multi-target tracking field. The real engineering requirement of the refined tracking of the targets inside cluster was met very well with this algorihtm.关键词
模板匹配/多传感器/群内目标/精细跟踪Key words
template matching/multi-sensor/targets inside cluster/refined tracking分类
计算机与自动化引用本文复制引用
王海鹏,贾舒宜,林雪原,唐田田..基于模板匹配的集中式多传感器群内目标精细跟踪算法[J].海军航空工程学院学报,2016,31(4):430-436,7.基金项目
国家自然科学重点基金资助项目（61531020）；国家自然科学面上基金资助项目 （）
