基于四阶累积量和小波降噪的干扰抑制算法

针对盲信号分离算法在低信噪比下分离效果较差的情况,提出了一种基于四阶累积量和小波降噪的含噪盲分离算法,并将该算法用于卫星通信干扰抑制。首先,利用基于四阶累积量的盲分离算法进行信扰盲分离;然后对分离出的已被噪声污染的通信信号进行小波降噪处理。最后,对提出的算法在单音干扰下进行了性能仿真。仿真结果表明,该算法不仅使抗噪性能提高了3dB左右,而且在低信噪比下对强单音干扰具有较好的抑制效果。

Algorithm of Interference Suppression Based on Fourth-Order Cumulant and Wavelet De-noising

To solve the problem that blind signal separation （BSS） algorithms have bad performance under low Signal-to-Noise Ratio （SNR）, a new algorithm of BSS in noisy mixtures based on fourth-order cumulant and wavelet de-noising is proposed and used for interference suppression in satellite communication. Firstly, signals and jamming are separated by BSS algorithm based on fourth-order cumulant. Then, signals polluted by noise are processed through wavelet de-noising. Finally, performance simulations are done for single-tone jamming, results show that the algorithm not only makes anti-noise performance improvement by 3 dB, but also has good performance for single-tone interference suppression under low SNR.