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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。
A new convolutional hybrid blind separation algorithm is proposed. The algorithm is applied to the anti-jamming of satellite communication, which separates the communication signal from the jamming signal to achieve anti-interference. The algorithm uses a high-order cumulant based on the elementary reflection matrix in conjunction with the diagonalization method to separate convolutional hybrid satellite communication signals and interference signals. Computer simulation shows that the algorithm has a better separation effect when the SNR is greater than 10dB in the noisy environment, and the separation performance decreases when the signal-to-noise ratio is less than 10dB, but it can be separated basically. Compared with other methods Compared with the low computational complexity, good separation performance, it is more suitable for anti-jamming of satellite communication.