基于Hopfield网络的短波协同侦收设备调度技术

Research on Technology of Resource Scheduling for HF Cooperative Reception Based on Hopfield Neural Network

短波波段信号密集,电磁环境复杂,相对有限侦收设备,往往会导致侦收效率不高。针对这种情况,提出了基于Hopfield神经网络的短波侦收设备调度方法,对短波信号进行协同侦收。给出了有效侦收概率的定义,梳理了有效侦收的约束条件,设计了侦收设备调度的数学模型,通过Hopfield神经网络实现了此模型。该方法利用全局优化技术对多个侦收传感器进行调度,使不同侦收传感器合理地协同侦收,实现侦收系统整体效益最大化。仿真结果表明了该方法的可行性和有效性。

Because of the many and dense signals in High Frequency（HF） band,the complex electromagnetic environment and the relatively limited resources,the efficiency of HF reception is not high. In view of this situation,a resource scheduling method for HF reception based on Hopfield neural network is proposed to reach cooperative HF reception. The effective reception probability is defined,the constraints of reception are given,a mathematical model of reception device scheduling is designed and realized by Hopfield neural networks. To achieve the optimum performance of the reception system,the optimization techniques of global scheduling for multiple sensor reception are utilized to make the cooperative reception reasonably. The experimental results show the effectiveness of the proposed method.