标记关联的多声呐多目标航迹融合方法  

Label-associated multi-sonar multi-target track fusion method

作　　者：生雪莉 陈洋[1,2,3] 郭龙祥 郝豪言 周媛媛[1,2,3] 殷敬伟 SHENG Xueli;CHEN Yang;GUO Longxiang;HAO Haoyan;ZHOU Yuanyuan;YIN Jingwei(Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China;College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China)

机构地区：[1]哈尔滨工程大学水声技术重点实验室,黑龙江哈尔滨150001 [2]海洋信息获取与安全工信部重点实验室(哈尔滨工程大学),工业和信息化部,黑龙江哈尔滨150001 [3]哈尔滨工程大学水声工程学院,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2020年第9期1346-1352,共7页Journal of Harbin Engineering University

基　　金：国家重点研发计划(2018YFC1405902);国家自然科学基金项目(51979061,51779061).

摘　　要：为解决基于高斯混合概率假设密度滤波器的多声呐多目标跟踪算法无法提供目标航迹问题,本文提出了一种标记关联的航迹生成、融合方法。该方法通过关联算法、外推法实现了航迹标记更新,解决了目标航迹生成问题。通过标记关联信息,实现了航迹融合。仿真试验表明:该方法不仅可以滤除假目标干扰,还可以准确地提供目标航迹信息。The multi-sonar multi-target tracking algorithm of density filter based on Gaussian mixture probability hypothesis cannot provide target tracking.To overcome this problem,this study proposes a label-associated track generation and fusion method.This method realizes track marker updates by using the association algorithm and extrapolation method,and solves the problem of target track generation.Track fusion is realized using label-associated information.Simulation experiments show that this method not only filters out false targets but also provides target track information accurately.

关 键 词：目标跟踪 假目标(信息理论) 数据融合 数据标记 线性系统 卡尔曼滤波器 状态估计 关联规则 

分 类 号：TB566[交通运输工程—水声工程]