基于离散搜索神经网络的数字调制类型识别

Digital modulation type recognition using neural network based on discrete searching

采用组合神经网络的离散搜索算法对通信信号的调制类型进行分类 ,在保证足够识别率的前提下 ,减少训练时间方面取得了较好效果 .仿真实验结果证明了此方法的有效性 .

Discrete scatter searching algorithm based on multiplied neural network is employed to classify the modulation types of communication signals. It is capable of achieving a sufficient accuracy of recognition within a limited training time. This method is proved to be effective by computer simulation.