摘要
针对DS理论的目标识别无法满足组网雷达对同步性和实时性要求的问题,利用模糊隶属函数求解似然函数确定DS理论所需的基本概率赋值,建立基于矩阵分析的DS理论数学模型,并讨论该算法在组网雷达中的应用,根据实例进行仿真。结果显示:在不损失融合精度的前提下,收敛速度有效提高,计算所需时间并不随传感器数目的提高而出现指数爆炸。
Considering the problem that the target recognition based on DS evidence theory can＇t satisfy the synchronous and real-time requirement of netted radar, we used fuzzy membership function to work out likelihood function,built up a mathematic model of DS evidence theory based on matrix analysis, and then discussed the application of it in netted radar. Simulation was made for a practical example. The results showed that this algorithm can improve its convergence velocity without losing any precision, and the increase of sensor quantity won＇t result in explosion index of calculation time.
出处
《电光与控制》
北大核心
2010年第1期77-80,共4页
Electronics Optics & Control
基金
空军武器装备科研基金(KJ06085)
关键词
DS证据理论
模糊信息
矩阵分析
组网雷达
收敛速度
DS evidence theory
fuzzy information
matrix analysis
netted radar
convergence speed
