目标多特征信息的模糊数据关联算法  

A Fuzzy Data Association Algorithm Based on Target's Multi-characteristic

作　　者：王树亮[1] 阮怀林[1] 张兴良[1] 

机构地区：[1]解放军电子工程学院,合肥230037

出　　处：《火力与指挥控制》2011年第10期127-130,共4页Fire Control & Command Control

摘　　要：传统的解决密集杂波环境中多目标跟踪的数据关联算法主要是基于目标的距离特征。由于利用的信息有限,容易导致目标的误跟和失跟。提出一种基于目标多特征信息的数据关联算法,将目标的距离特征、方位特征和雷达散射截面积特征进行模糊信息融合,实现对雷达目标的关联。仿真结果表明了该算法的有效性。The traditional data association algorithms to solve the tracking problem in dense clutter are mainly based on the distance characteristic.For the limit information,targets are easily tracked incorrectly or lost.So,a novel data association algorithm based on multi-characteristic of target is proposed.Target＇s characteristic of distance,bearing and radar cross section are fused with fuzzy technology to associate with the radar targets.The simulation shows the effectiveness of this algorithm.

关 键 词：多目标跟踪 目标多特征 数据关联 模糊信息融合 

分 类 号：TN911.7[电子电信—通信与信息系统]