Files
miSim/@rfSensor/plotParameters.m
T

55 lines
1.5 KiB
Matlab

function f = plotParameters(obj)
arguments (Input)
obj (1, 1) {mustBeA(obj, "rfSensor")};
end
arguments (Output)
f (1, 1) {mustBeA(f, "matlab.ui.Figure")};
end
% Distance and tilt sample points
d_values = [0.1, 0.5, 1:1:9, 10:2:19, 20:5:49, 50:10:100];
t_values = -90:0.5:90;
a_values = 0:0.5:360;
% Make grid of values of distances and tilts
[d_mg, t_mg, a_mg] = meshgrid(d_values, t_values, a_values);
d = d_mg(:); t = t_mg(:); a = a_mg(:); % flatten
% Sample received signal strength (no interference or noise)
s_x = obj.RSS(d, t, a);
s_x = reshape(s_x, size(d_mg));
[T, A] = meshgrid(t_values, a_values); % Naz x Nel
Tr = deg2rad(T);
Ar = deg2rad(A);
figure;
hold("on");
for ii = 1:numel(d_values)
% geometry (your "tilt from nadir, stack by distance")
X = d_values(ii) * cos(Ar) .* sin(Tr);
Y = d_values(ii) * sin(Ar) .* sin(Tr);
Z = d_values(ii) * ones(size(X));
% evaluate or extract this slice
Fslice = squeeze(s_x(:, ii, :))';
% plot as its own surface
h = surf(X, Y, Z, Fslice);
h.EdgeColor = 'none';
h.FaceColor = 'interp';
h.FaceAlpha = 0.25;
end
colormap(turbo);
colorbar;
daspect([1 1 0.2]) % Separate Z further for more distinct layers
xlabel('X'); ylabel('Y'); zlabel('Distance (m)');
set(gca,'ZDir','reverse');
view(3);
axis("vis3d");
grid("on");
scatter3(0, 0, 0, 'rx');
hold("off");
end