多平台声纳水下目标异步航迹序贯融合方法  

Multistatic Sonar Underwater Target Asynchronous Tracks Fusion Algorithm

作　　者：陈洋 卢术平 丁烽[1] CHEN Yang;LU Shuping;DING Feng(Hangzhou Applied Acoustic Research Institute,Hangzhou 310013)

机构地区：[1]杭州应用声学研究所,杭州310013

出　　处：《舰船电子工程》2023年第3期187-192,共6页Ship Electronic Engineering

摘　　要：多平台协同探测是目前舰船编队水下目标探测的一种主流形式。然而,由于平台间存在探测、通信等方面造成的信息差异,导致数据融合过程中存在数据异步问题,难以融合形成目标航迹。为此,论文以序贯融合思想为基础,构建了异步数据融合方法框架,并改进了数据关联、融合算法,增加了航迹滤波算法,提出了一种新颖的多平台声纳水声目标异步数据的融合方法。仿真和两批实验数据处理结果表明,该方法在实际应用中具有解决上述问题能力。Multistatic detection is a major form of target detection in underwater target detecting.However,due to the informa⁃tion differences caused by detection and communication between platforms,there is a problem of data asynchrony in the process of data fusion,which is difficult to fuse these tracks.Therefore,this paper proposes a novel algorithm based on sequential fusion theo⁃ry,improves association algorithm,fusion algorithm and adds filter algorithm.A novel fusion method for asynchronous data of multi-platform sonar underwater acoustic targets is proposed.The simulation and two batches of experimental data processing results show that this method has the ability to solve the above problems in practical applications.

关 键 词：多传感器数据融合 异步数据 序贯融合算法 航迹关联 

分 类 号：TB566[交通运输工程—水声工程]