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绝大部分通信信号都具有循环平稳特性,利用信号的循环平稳特性可以有效抑制干扰和各类噪声,实现自适应盲波束形成。文章通过改进CAB算法代价函数,提出了能抑制与期望信号(SO I)具有相同循环频率分量的恶劣干扰的修正CAB算法。该方法对改进后的CAB算法权矢量进行加权约束,使之在SO I方向上产生高增益,在干扰方向产生零陷。相比经典C-CAB算法,其具有收敛速度快、计算复杂度低和输出信干噪比(S INR)高等优势。计算机仿真验证了该算法的有效性。
Most of the communication signals have the characteristics of cyclostationary smoothing. Utilizing the cyclostationary characteristics of the signals can effectively suppress the interference and all kinds of noises, and realize the adaptive blind beamforming. By improving the CAB algorithm cost function, the paper proposes a modified CAB algorithm that can suppress the bad interference with the same cyclic frequency component as the desired signal (SO I). The proposed method weights the improved weight vector of CAB algorithm so as to generate high gain in the direction of SO I and zero in the interference direction. Compared with the classical C-CAB algorithm, it has the advantages of fast convergence, low computational complexity and high SIR. Computer simulation shows the effectiveness of the algorithm.