基于神经网络的组网雷达协同探测模式控制

Research on Control of Netted Radar Co-detection ModeBased on Neural Network

针对多机编队多雷达协同探测模式的切换选择问题,提出了一种基于神经网络的协同探测模式控制策略。通过利用模糊逻辑理论对战场态势信息进行模糊表征;然后,采用神经网络技术对态势表征因子与协同探测模式之间的映射关系进行数学建模;最后,将实时态势信息输入建立的模型,自主得到协同探测模式的选择建议。通过数值仿真表明,神经网络建模技术可以有效控制协同探测模式的选择切换,并具有较高的切换精度。

For the control of multi-radar co-detection mode in airplane formation,a co-detection mode control strategy is proposed based on neural network.Firstly,the fuzzy logic theory is introduced to perform the fuzzy characterizing of battlefield situation.Then,the mathematical model of the mapping relationship between the battlefield situation and co-detection mode based on neural network method.Finally,the choose advise of co-detection mode is obtained with the real time battlefield situation inputting to the model.The simulation results show the neural network can control the co-detection mode switch effectively and have a favorable precision.