Robust adaptive bamforming using worst-case performance optimization: a solution to the signal misma

% Robust adaptive bamforming using worst-case performance optimization: a solution to the signal mismatch problem
           ss_wco=sqrt(0.01); % 阵列流型误差范数上界
           U_chol=chol(R); % U'* U = R
           cvx_begin quiet
                variable w_wco(sensor_number) complex;
                minimize(norm(U_chol * w_wco));
                subject to
%                     imag(w_wco' * a_theta) == 0;
%                     w_wco' * a_theta >= ss_wco * norm(w_wco) + 1;
                    % 复二阶锥规划问题 Complex second-order cone
                    {ss_wco * w_wco, w_wco' * a_theta - 1} <In> complex_lorentz(sensor_number);
           cvx_end

上述代码是该算法的MATLAB实现，大家对该算法感兴趣或者有疑问的，欢迎留言交流。

标签：case,ss,signal,chol,solution,number,complex,theta,wco
来源： https://blog.csdn.net/Leo_Luo1/article/details/122387876