共信道重叠多信号的分离识别

Separation and Classification of Co-Channel Multicomponent Signals

通信侦察面临越来越密集复杂的信号环境，共信道多信号的问题已经变得难以避免。特别是单信道多个时频重叠信号的分选和识别问题，在通信对抗中具有重要的研究意义和应用价值。本文综述了针对这一问题目前在方法上取得的研究结果和前沿发展情况，并阐述了对该问题的思考和看法。文中涉及多信号分量的可分离性和各类分离方法的基本思路，以及性能、应用和存在的问题。

With the greatly increasing complex and high-density signal environment for communicationreconnaissance, it is of grean importance to solve the co-channel multi-signal problem, especially the classification and recognition of single channel overlapped signals, which is even more valuable for the research on communication EW. In the paper, the summarization of the recent studies on this topic is proposed, focusing on the basic ideas of multi-signal separability and various algorithms, and their performances, the applications and the problems to solve.