added SINR visualization
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function f = plotPerformance(obj, altitude, otherSensorsPos, otherSensors)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, "rfSensor")};
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altitude (1, 1) double;
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otherSensorsPos (:, 3) double = NaN(0, 3);
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otherSensors (:, 1) cell = cell(0, 1);
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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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% Create grid on which to evalute SINR, SNR
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agentPos = [0, 0, altitude];
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d = max(10, max(vecnorm(otherSensorsPos(1:2), 2, 2)) * 1.25);
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c = 0.1;
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d = ceil(d / c) * c;
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distances = -d:c:d;
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[targetPosX, targetPosY] = meshgrid(distances, distances);
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% Compute SINR, SNR
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[SINR, SNR] = obj.sensorPerformance(agentPos, [targetPosX(:), targetPosY(:), zeros(size(targetPosX(:)))], otherSensorsPos, otherSensors);
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SINR = reshape(SINR, size(targetPosX));
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SNR = reshape(SNR, size(targetPosX));
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% normalize
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SINR = SINR ./ max(SINR);
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SNR = SNR ./ max(SNR);
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f = figure;
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imagesc(SNR);
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axis("image");
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colorbar;
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title("Normalized SNR");
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f = figure;
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imagesc(SINR);
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axis("image");
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colorbar;
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title("Normalized SINR");
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end
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