Files
miSim/@rfSensor/plotParameters.m
T

56 lines
1.6 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 = 10.^[1, 2, 3, 4, 5, 6];
t_values = 0:2.5:180; % 0=nadir (center), 180=zenith (edge)
a_values = 0:2.5:360;
% 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
Ar = deg2rad(A);
f = figure;
hold("on");
for ii = 1:numel(d_values)
% Linear radial mapping: t=0 (nadir) -> center, t=180 (zenith) -> edge
% Radius in log10 units to match Z axis scale
r = log10(d_values(ii)) .* T ./ 180;
X = r .* cos(Ar);
Y = r .* sin(Ar);
Z = log10(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 (log_{10} units)'); ylabel('Y (log_{10} units)'); zlabel('log_{10} Distance (m)');
set(gca,'ZDir','reverse');
view(3);
axis("vis3d");
grid("on");
scatter3(0, 0, 0, 'rx');
hold("off");
end