摘要
传感器管理的目的之一是将多传感器资源分配给多目标。分配时需要考虑的因素之一是目标的优先级别。本文分析了影响目标优先级的主要因素,提出了一种基于人工神经网络的目标优先级确定算法。仿真结果表明,该算法是精确而有效的。
One of the sensor management purposes is to allocate sensors to targets. The target priority plays an important role in resources allocation. The main factors that have influence on allocation of the sensors are analyzed. A target priority determination algorithm based on neural network is given. Simulation results show that the algorithm is effective and accurate.
出处
《电光与控制》
2003年第4期38-41,共4页
Electronics Optics & Control
关键词
目标优先级
资源分配
前向神经网络
B-P算法
target priority
resources allocation
feed forward neural network
B-P algorithms
