一种基于水声特征的辅助关联算法  

Data Association Method Based on Acoustic Feature

作　　者：蒲勇[1] 

机构地区：[1]江苏自动化研究所,连云港222061

出　　处：《舰船电子工程》2016年第3期143-146,共4页Ship Electronic Engineering

摘　　要：针对声纳探测特性,提取了几个有效的目标特征信息;结合水面水下目标运动规律,构建了短时位置预测模型;基于联合概率密度关联算法架构,提出了特征辅助的关联算法模型,基本实现了利用声纳特征辅助多目标进行关联融合,提高了复杂环境下的关联正确率。Aimed at detection characteristics of sonar ,some volid target feature information is extracted .Combined with surface and underwater targets move rules ,target＇s position prediction model for short time is designed .Based on joint probabilistic data association algorithm ,featured-aided association method is provided .Simulation proves the method can use features to correlate and fuse of multi-targets ,and improves correct fusion rate in complex situation .

关 键 词：水声 特征辅助 预测 数据关联 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]