plot_array_response_and_interferers.m

implement basic routines in Matlab and Octave (currently using Matlab R13) for simulating adaptive b

function plot_array_response_and_interferers(array_responses, labels, target_aoa_deg, interferer_aoa_deg, nfft)

mycolors = ['k', 'b', 'm', 'c', 'y', 'r', 'g', 'k--', 'b--', 'm--', 'c--', 'y--', 'r--', 'g--'];

figure('Color', 'w'), hold on
xp=linspace(-1, 1, nfft);
for i = 1:size(array_responses, 2)
    plot(xp,10*log10(fftshift(abs((fft(array_responses(:,i), nfft))).^2)), mycolors(i))
end
targetline = line([sin(deg2rad(target_aoa_deg)), sin(deg2rad(target_aoa_deg))],[-60 25],'LineWidth',3,'Color','g');
for i = 1:size(interferer_aoa_deg,2)
    jammerline(i) = line([sin(deg2rad(interferer_aoa_deg(i))), sin(deg2rad(interferer_aoa_deg(i)))],[-60 25],'LineWidth',2,'Color','r');
end
xlabel('Sin(theta)')
ylabel('Spatial spectrum power, dB')
title('Combined weight pattern plot')

if (size(labels, 1) == 1)
    legend(labels(1,:), 4)
elseif (size(labels, 1) == 2)
    legend(labels(1,:), labels(2,:), 4)
elseif (size(labels, 1) == 3)
    legend(labels(1,:), labels(2,:), labels(3,:), 4)
elseif (size(labels, 1) == 4)
    legend(labels(1,:), labels(2,:), labels(3,:), labels(4,:), 4)
elseif (size(labels, 1) == 5)
    legend(labels(1,:), labels(2,:), labels(3,:), labels(4,:), labels(5,:), 4)
elseif (size(labels, 1) == 6)
    legend(labels(1,:), labels(2,:), labels(3,:), labels(4,:), labels(5), labels(6,:), 4)
else 
    disp('Too many responses to plot')
end

hold off