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 .
出处
《舰船电子工程》
2016年第3期143-146,共4页
Ship Electronic Engineering
关键词
水声
特征辅助
预测
数据关联
acoustic
feature-aided
prediction
data association
