基于独立分量分析的共信道多干扰信号的自动识别

Automatic Recognition of Multi-Interference Signals in the Common Channel Based on Independent Component Analysis

实际应用中经常会遇到共信道多个干扰信号的自动识别问题,对此目前还没有较好的解决方法。论文首先建立了此类问题的数学模型,并在此基础上,利用基于ICA的盲信号分离技术先对同时混合的干扰和信号进行分离,然后进行每路信号和干扰在时域、频域和高阶累积域进行特征提取和自动识别。论文以四种干扰信号和两种通信信号共信道混合为例进行了仿真实验,结果表明新方法的正确性和有效性。

In practice, the automatic recognition of multiple interference signals in the common channel often occurs, and up to now, there is not a effective method to deal with it. This paper firstly establishes a mathematical model of this kind of problem. Based on the inde pendent component analysis, the blind signal separation technology is adopted to separate the interference and signals, which are mixed at the same time, and then the algorithm selects the features of each signal and interference in time domain, frequency domain and high-order cumu- lant domain to complete the recognition of the interference signals. The computer simulation utilizes the automatic recognition method to deal with the problem of 2 signals and 4 interferences mixing in the same channel. The result proves the correctness and validity of new algorithm.