关于通信辐射源信号分类与识别的数学模型

A Mathematical Model of Classification and Identification of Communication Radiation Source Signals

摘要: 在现代信息技术高速发展的条件下，为了取得战争的胜利，各国军队都在大量使用常规或非常规的通信设备。因此，本文尝试使用Hilbert-Huang变换对同类通信辐射源信号特征的提取和分析，再使用聚类算法来实现从一般通信信号的分类识别到个体信号的识别。然而实际信号是有噪声的，所以本文应用小波阈值降噪方法对信号进行降噪处理。这些对在信息化条件下提高军事通信对抗作战能力，保证在未来战争中情报信息的获取与利用，掌握战争的主动权具有重要价值和意义。

Abstract: Under the condition of the rapid development of modern information technology, military forces in various countries are making heavy use of conventional or non-conventional communications equipment in order to win the war. Therefore, this paper attempts to use the Hilbert-Huang transform to extract and analyze the signal characteristics of the same type of communication ra-diation source, and then use the clustering algorithm to identify the individual signals from the classification and identification of the general communication signals. However, the actual signal is noisy, so this paper applies wavelet threshold denoising method to noise reduction. These are of great value and significance to enhance the capability of military communications in fighting against war under information conditions, to enhance access to and utilization of intelligence in-formation in the coming wars, and to grasp the initiative of the war.