摘要
为了提高多目标跟踪的精度,构建雷达红外传感器的可行数据融合结构系统,实现雷达与红外协同工作,既弥补了红外探测范围小、无距离量测的缺陷,又可避免单个传感器测量信息误差大的问题。研究二者配合使用实现信息互补,导出了一种雷达红外传感器量测优化加权融合方法,并采用概率假设密度(PHD)滤波算法,实现多目标跟踪。计算机仿真验证表明,所构建的融合系统及多传感器量测融合方法能够提高多目标状态估计精度,对于解决异类多传感器目标跟踪估计问题具有重要的现实意义。
In order to improve the accuracy of multi-target tracking,a feasible dada fusion system is proposed for radar and infrared sensor to realize the two works together,which not only overcomes the defects of small detection range and no distance measurement for infrared sensor,but also avoids the problem of large error in measurement information by single sensor.This paper studies that radar and infrared cooperates to work so as to realize the information complementary,deduces a method of radar-infrared sensor measurement optimization weighting fusion,and uses probability hypothesis density(PHD)filtering algorithm to realize multi-target tracking.The computer simulation validation shows that the integrated system and multi-sensor measurement fusion method can improve the accuracy of multi-target state estimation,which is of great practical significance to solve the problem of heterogeneous multi-sensor target tracking estimation.
作者
张安清
张万顺
齐海明
ZHANG An-qing;ZHANG Wan-shun;QI Hai-ming(Dalian Naval Academy,Dalian 116018,China;Unit 91202 of PLA,Huludao 125004,China)
出处
《舰船电子对抗》
2020年第4期86-90,共5页
Shipboard Electronic Countermeasure
