💥1 概述
本文使用MATLAB中的两步迭代最小二乘法对JCAS的一组多波束进行了优化。
📚2 运行结果
🎉3 参考文献
[1]唐劲飞,闫忠文.宽带多媒体通信卫星多波束覆盖国土的优化研究[J].中国空间科学技术,2006(03):32-37.
👨💻4 Matlab代码
主函数部分代码：
%% optimization L = 8; % 11 multipaths theta_t_LOS = 0; % AoD of LOS theta_r_LOS = 0; % AoA of LOS theta_t_NLOS = theta_t_LOS + -7 + 14*rand(L-1, 1); % AoDs of NLOS theta_r_NLOS = theta_t_NLOS; % AoAs of NLOS theta_t = [theta_t_LOS; theta_t_NLOS]; theta_r = [theta_r_LOS; theta_r_NLOS]; d_LOS = 100; % distance of LOS d_NLOS = 100 + 200*rand(L-1, 1); % distance of NLOS d = [d_LOS; d_NLOS]; tao_l = d/(3*10^8); % propagation delay v_A = 0; % speed of A node v_o = 10*rand(L-1, 1); % speed of the obstacles v = [v_A; v_A*ones(L-1, 1)+v_o]; f_c = 3*10^10; % carrier frequency f_D = (v*f_c)/(3*10^8); % Doppler frequency b_LOS = sqrt(1/2) * (1 + 1i); % amplitude of complex value b_NLOS = sqrt(0.1/2) * (ones(L-1, 1) + 1i*ones(L-1, 1)); b = [b_LOS; b_NLOS]; % Channel coefficients M = 12; % array dimension K_c = 16; K_s = 12; H = zeros(M, M); for i = 1:L a_t = steering_vector(theta_t(i), M); a_r = steering_vector(theta_r(i), M); H = H + b(i)*exp(1i*2*pi*f_D(i)*tao_l(i))*(1/2)*a_r*a_t.'; end
