卫星接收系统抗干扰的卷积盲分离算法

Convolutive Blind Separation Algorithm Based on Satellite Communication Anti-jamming

提出一种新的卷积混合盲分离算法,并把该算法应用到卫星通信抗干扰中,将通信信号和干扰信号分离开,以实现抗干扰的目的。该算法使用基于初等反射矩阵的高阶累积量联合对角化法来分离卷积混合的卫星通信信号和干扰信号。计算机仿真表明,在噪声环境下,信噪比大于10dB时该算法有较好的分离效果,信噪比小于10dB时分离性能有所下降,但基本也能实现分离,且与其他文献中方法相比具有计算复杂度低、分离性能好的特点,因此更适宜用于卫星通信抗干扰。

Aiming at the problem separation in noisy environment, a new of satellite communication signal and jamming blind algorithm for convolutive mixture blind source separation （BSS） by exploiting the householder transformation to realize the joint diagonalization of high-order cumulant and operation in the frequency domain was proposed. Compared with the classical methods, simulation results show that the proposed algorithm has lower computational complexity and better separation performance. When signal to noise ratio （SNR） is greater than lOdB, the novel algorithm of anti-jamming can realize the separation of communication signals and the jamming, and has good separation performance.