38 lines
1.1 KiB
Matlab
38 lines
1.1 KiB
Matlab
function f = plotParameters(obj)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, "rfSensor")};
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end
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arguments (Output)
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f (1, 1) {mustBeA(f, "matlab.ui.Figure")};
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end
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% Distance and tilt sample points
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d_values = [0.01, 0.1, 0.25, 0.5, 0.75, 1, 2, 3, 4, 5:5:100];
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% t = zeros(size(d));
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t_values = -90:15:90;
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% Make grid of values of distances and tilts
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[d_mg, t_mg] = meshgrid(d_values, t_values);
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d = d_mg(:); t = t_mg(:); % flatten
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% Sample SINR (SNR) function by distances, tilts
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% using SINR method with no other transmitters defined is equivalent to SNR
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s_x = obj.sensorPerformance(d, t); % don't define other sensors
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s_x = reshape(s_x, size(d_mg));
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% Plot resultant sigmoid curves
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figure;
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plot(d_values.', s_x(repmat((t_values == 0).', 1, size(d_values, 2))), "LineWidth", 2);
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grid("on");
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title("SNR vs Distance at 0 tilt");
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xlabel("Distance (m)");
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ylabel("SNR (dB)");
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figure;
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surf(d_mg, t_mg, s_x);
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grid("on");
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title("SNR vs Distance and Tilt");
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xlabel("Distance (m)");
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ylabel("Tilt (deg)");
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zlabel("SNR (dB)");
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end |