47 lines
1.2 KiB
Matlab
47 lines
1.2 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 = [0.01, 0.1, 0.25, 0.5, 0.75, 1:1:100];
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t = zeros(size(d));
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% Sample RSS function by distances, tilts
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r_x = obj.RSS(d', t');
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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 = NaN(size(r_x));
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for ii = 1:size(s_x, 1)
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s_x(ii) = obj.sensorPerformance([0, 0, d(ii)], zeros(1, 3)); % don't define other sensors
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end
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% Plot resultant sigmoid curves
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f = figure;
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tiledlayout(f, 2, 1, "TileSpacing", "tight", "Padding", "compact");
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% RSS/Distance with 0 tilt
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nexttile(1, [1, 1]);
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grid("on");
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title("RSS vs Distance");
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xlabel("Distance (m)");
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ylabel("RSS (dBm)");
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hold("on");
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plot(d, r_x, "LineWidth", 2);
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hold("off");
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% ylim([0, 1]);
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% SNR/Distance with 0 tilt
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nexttile(2, [1, 1]);
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grid("on");
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title("SNR vs Distance");
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xlabel("Distance (m)");
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ylabel("SNR (dB)");
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hold("on");
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plot(d, s_x, "LineWidth", 2);
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hold("off");
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end |