基于人工智能的中波广播信号识别技术研究

Research on Medium Wave Broadcasting Signal Recognition Technology Based on Artificial Intelligence

中波广播信号在国防安全和应急通信中占据非常重要的地位,但复杂电磁环境给中波广播信号的准确识别带来了前所未有的挑战。对此,提出一种基于人工智能的中波广播信号识别方法。该方法深度融合了信号预处理、特征提取和机器学习模型优化技术,有效提升了信号识别的准确性。实验结果表明,该方法在各种信道和干扰条件下均表现出优异的识别性能,为在复杂环境下的信号识别难题提供了新的解决方案。

Medium wave broadcast signals play a very important role in national defense and emergency communication,but the complex electromagnetic environment brings unprecedented challenges to the accurate identification of medium wave broadcast signals.In this paper,an artificial intelligence-based medium wave broadcast signal recognition method is proposed.This method deeply integrates signal pre-processing,feature extraction and machine learning model optimization techniques,and effectively improves the accuracy of signal recognition.The experimental results show that the proposed method has excellent performance in all kinds of channels and interference conditions,and provides a new solution to the difficult problem of signal recognition in complex environment.