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针对跳频信号的欠定盲源分离,为了解决现有的时频域方法中算法计算量大、信号存在畸变、恢复精度不高的问题,提出了一种基于滤波的跳频信号欠定盲分离算法.该算法首先根据估计到的源信号载频设计带通滤波器,利用这些滤波器对观察信号进行滤波,得到只包含某一个源信号的观测信号分量,使原分离问题分为数个时域上稀疏的欠定盲分离问题,然后对各个分量在时域上分别应用欠定盲源分离算法估计每跳数据.通过仿真对比发现,所提的滤波法得到的跳频信号更精确,信干比比时频域方法大4 d B;同时所提算法处理的数据量小,计算复杂度低.
To solve the problem of underdetermined blind source separation of frequency hopping signals, in order to solve the problem of large amount of calculation, signal distortion and low recovery accuracy in the existing time-frequency domain methods, a filter based underfunded This algorithm firstly designs the band-pass filter based on the estimated carrier frequency of the source signal, and filters the observed signal by using these filters to obtain the observed signal component containing only one source signal, so that the original separation problem is divided into several Then, the underdetermined blind source separation algorithm is used to estimate the data of every hop in the time domain of each component.It is found by simulation that the frequency hopping signal obtained by the filtering method is more accurate, Compared with the time-frequency domain method, the proposed method is 4 d B in size, while the proposed algorithm has a small amount of data and low computational complexity.