摘要
Abstract
Deep learning,as a new type of technical means derived from the field of modern artificial intelligence,broadband communication signal detection technology based on deep learning can fully mine and extract the useful information in broadband communication signals,and put forward efficient broadband noise estimation method and broadband carrier signal detection method,which can effectively improve the broadband communication signal detection work by simulating and analyzing the huge amount of broadband communication signals,under the premise of ensuring that the broadband communication signal detection technology is adapted to the complex electromagnetic environment.simulation and analysis,and effectively improve the accuracy and efficiency of broadband communication signal detection.In view of this,the article centers on deep learning-based broadband communication signal detection technology to carry out research,briefly explains the theoretical basis of communication signal detection,comprehensively discusses the deep learning-based broadband communication signal detection technology,and hopes to put forward some distinctive references for the relevant communication signal processing personnel.关键词
深度学习/宽带通信/信号检测技术/通信信号/人工智能Key words
deep learning/broadband communication/signal detection techniques/communication signals/artificial intelligence分类
信息技术与安全科学
