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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
【摘要】 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 .
【Abstract】 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.
【关键词】 离散搜索算法;
组合神经网络;
调制识别;
【Key words】 discrete searching; multiplied neural network; modulation recognition;
【Key words】 discrete searching; multiplied neural network; modulation recognition;
【基金】 甘肃省自然科学基金 (ZS0 11 A2 5 0 16 J)
- 【文献出处】 甘肃工业大学学报 ,Journal of Gansu University of Technology , 编辑部邮箱 ,2002年03期
- 【分类号】TP183
- 【被引频次】9
- 【下载频次】62