基于OBE算法的混沌通信盲干扰抑制

Blind Narrowband Interference Suppression in Chaotic Communication based on Optimal Bounding Ellipsoid Algorithm

文章提出了基于最优边界椭球(OBE)准则的混沌通信窄带干扰自适应算法。与基于最小相空间体积(MPSV)的Kalman滤波和双重平方根无迹卡尔曼滤波(SRUKF)算法相比,该算法不需要估计干扰模型的参数,并且具有选择更新特性,能在仅有少量数据参与更新的情况下达到与前者接近的性能,有效降低了计算量。该方法的性能通过在差分混沌相移键控(DCSK)通信下对AR型和单音两种窄带干扰的有效抑制得到了验证。

A novel adaptive algorithm based on Optimal Bounding Ellipsoid（OBE） criteria for narrowband interference （NBI） suppression in chaos-based communications is proposed. In comparison with the Mean Phase Space Volume （MPSV） based Kalman filter and dual squared root unscented Kalman filter（SRUKF）, the proposed NBI suppression methods estimates interference signals only by using fewer observations due to discerning update features, so that their computation is effectively reduced. Performance of the proposed method is verified by the efficient mitigation of AR or single tone interference in Differential Chaotic Shift Keying （DCSK） communication systems.