基于独立分量分析的短波同频信号盲分离算法

盲分离能在未知源信号和传播信道的情况下，实现对接收到的混合信号的分离，是应对短波监测过程中由于同频信号混合而无法分辨这一困难的有效途径。本文介绍了两种基于独立分量分析的盲分离算法，分别进行了理论分析与仿真，验证了算法的有效性，将其应用到日常短波监测工作中，可以为频谱管理监测提供技术支持。

Blind Separation Algorithm of Short Wave Signals with Same Frequency Based on Independent Component Analysis

Blind separation can separate the receiving mixed signals in the case of unknown source signals and the transmission channels,which is an effective method to solve the difficulty of mixed signals with same frequency in short-wave radio monitoring. This paper introduces two algorithms based on independent component analysis,carrying on the theoretical research and simulation analysis respectively, proving the effectiveness of the methods,and providing technical support for spectrum management monitoring.