用于测频测向的偶对称神经网络模型

Dual Hopfield Neural Networks Model for Frequency and Direction Measurement

介绍了Hopfield神经网络用于测频测向的原理。为解决一些基本算法的局部极值问题 ,建立了偶对称神经网络的模型 ,并给出了相应的算法。理论分析和仿真结果表明 ,该算法用于解决全局优化问题是有效的 ,可用于解决测频测向问题。

The principle of Hopfield networks that is used for frequency and direction measurement is introduced in this paper. The dual neural networks model and algorithms are put forward to solve local optimal problem in some general algorithms. The simulation results are showed that this new model is effective to avoid the local optimal problem and can be used for frequency and direction measurement.