摘要
针对现有信号处理模型难以解决多分量信号的处理问题,以及现有的多分量处理只讨论了多分量LFM信号的问题,提出了一种新的多分量处理模型和处理方法,首先通过改进的FastICA盲分离算法实现多分量信号的分离,提出了一种基于AHT的判别方法,对分离后的噪声和信号进行判别,有效地解决了多分量信号的检测处理难题。
There is a problem in existing multi-component treatment models and algorithms,and only the multi-component LFM signals are discussed.To solve above problems,this paper proposes a new processing model and processing method.Firstly multi-component signal separation is realized through the improved FastICA blind source separation algorithm and a discriminant method based on AHT is proposed.Therseparated noise and signal are discriminated,solving the knotty problem of the multi-component signal detection processing.
出处
《指挥控制与仿真》
2017年第1期89-93,共5页
Command Control & Simulation
关键词
独立分量
盲分离
多分量
信号检测
independent component
blind source separation
multi-component
signal detection
