Research on Automatic Modulation and Recognition of Communication Signal Based on Artificial Intelligence Model
The current automatic recognition methods cannot fully and accurately identify certain complex modulation modes.This article proposes an automatic modulation recognition method for communication signals based on artificial intelligence models to address this issue.Firstly,when constructing a communication signal modulation model,artificial intelligence is used to determine the modulation method and provide corresponding modulation parameters.Next,the maxout function is used to replace the original ReLU function,while increasing the number of convolutional layers and reducing the number of pooling layers to extract the feature parameters of the communication signal,thereby constructing a feature vector suitable for artificial intelligence model training.Finally,this article combines the adaptive recognition threshold for initial automatic modulation recognition of communication signals,and further optimizes the modulation recognition method through similarity.The effectiveness and accuracy of this method were verified through testing the dataset.The experimental results show that compared to literature methods,the communication signal automatic modulation recognition method based on artificial intelligence has higher accuracy.
NETL
NSTL
万方数据
