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一种用于 C~3I 系统的异类传感器数据融合算法
引用本文:王国宏,何友.一种用于 C~3I 系统的异类传感器数据融合算法[J].火力与指挥控制,1997(4).
作者姓名:王国宏  何友
作者单位:烟台海军航空工程学院
摘    要:在文献〔8〕和〔9〕基础上研究了在不等样本情况下的异类传感器——雷达与ESM——的航迹相关问题。首先,基于模糊综合函数找出两个最可能的雷达与ESM航迹相关对,然后,利用统计理论并采用多门限决策方法进行雷达与ESM航迹相关判决。仿真结果表明,与文献〔8〕的方法相比,在雷达航迹比较多的情况下,本文所提出的在不等样本情况下的雷达与ESM相关算法具有与其很相近的性能,但计算量明显减少;而与文献〔9〕的方法相比,这里采用多门限决策方法又可同时减小两类错误概率。

关 键 词:数据融合  雷达与ESM相关  模糊综合  多门限决策

A Data Fusion Algorithm for Hieterogeneous Sensors in C 3I System
Wang Guohong,He You.A Data Fusion Algorithm for Hieterogeneous Sensors in C 3I System[J].Fire Control & Command Control,1997(4).
Authors:Wang Guohong  He You
Abstract:On the basis of the references 8 and 9 ,this paper deals with the radar ESM track correlation problem with each radar track being specified by different number of measurements.First,based on the fuzzy synthetic function,the most possible two radar ESM correlation pairs are selected .Then ,by using statistical theory and multi threshold decision method,the radar ESM correlation decisions are made.Finally,simulation is made and this method is compared with that of literature 8 by using Monte Carlo method.The simulation results show that the method has much less computational burden and good performance,and that the method may avoid the two error probabilities at the same time.
Keywords:data fusion  radar  ESM correlation  fuzzy synthtic function  multi  threshold decision
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