added SINR visualization

@rfSensor/plotPerformance.m

@@ -0,0 +1,41 @@
+function f = plotPerformance(obj, altitude, otherSensorsPos, otherSensors)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, "rfSensor")};
+        altitude (1, 1) double;
+        otherSensorsPos (:, 3) double = NaN(0, 3);
+        otherSensors (:, 1) cell = cell(0, 1);
+    end
+    arguments (Output)
+        f (1, 1) {mustBeA(f, "matlab.ui.Figure")};
+    end
+
+    % Create grid on which to evalute SINR, SNR
+    agentPos = [0, 0, altitude];
+    d = max(10, max(vecnorm(otherSensorsPos(1:2), 2, 2)) * 1.25);
+    c = 0.1;
+    d = ceil(d / c) * c;
+    distances = -d:c:d;
+    [targetPosX, targetPosY] = meshgrid(distances, distances);
+
+    % Compute SINR, SNR
+    [SINR, SNR] = obj.sensorPerformance(agentPos, [targetPosX(:), targetPosY(:), zeros(size(targetPosX(:)))], otherSensorsPos, otherSensors);
+    SINR = reshape(SINR, size(targetPosX));
+    SNR = reshape(SNR, size(targetPosX));
+
+    % normalize
+    SINR = SINR ./ max(SINR);
+    SNR = SNR ./ max(SNR);
+    
+    f = figure;
+    imagesc(SNR);
+    axis("image");
+    colorbar;
+    title("Normalized SNR");
+
+    f = figure;
+    imagesc(SINR);
+    axis("image");
+    colorbar;
+    title("Normalized SINR");
+    
+end

@rfSensor/rfSensor.m

@@ -16,9 +16,10 @@ classdef rfSensor
 
     methods (Access = public)
         [obj] = initialize(obj, txPower, bandwidth, centerFreq, rxGain); % initialize sensor, define parameters
-        [SINR] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors); % determine sensor performance for a given single sensor and target geometry
-        [f] = plotParameters(obj); % debug, plot sensor response as a function of distance and tilt angle
+        [SINR, SNR] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors); % determine sensor performance for a given single sensor and target geometry
         [d, t, a] = computePointToPoints(obj, agentPos, targetPos);
+        [f] = plotParameters(obj); % debug, plot sensor response as a function of distance and tilt angle
+        [f] = plotPerformance(obj, altitude, otherSensorsPos, otherSensors); % debug, plot SNR or SINR ground heatmap for a given geometry
     end
     methods (Access = private)
         x = RSS(obj, d, t, a); % Received signal strength (function of distance and tilt angle)

@rfSensor/sensorPerformance.m

@@ -1,4 +1,4 @@
-function SINR = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors)
+function [SINR, SNR] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors)
     arguments (Input)
         obj (1, 1) {mustBeA(obj, "rfSensor")};
         agentPos (1, 3) double;
@@ -8,6 +8,7 @@ function SINR = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, oth
     end
     arguments (Output)
         SINR (:, 1) double;
+        SNR (:, 1) double;
     end
     assert(size(otherSensorsPos, 1) == size(otherSensors, 1), "Mismatch in number of other sensor positions (%d) and number of other sensors (%d) provided", size(otherSensorsPos, 1), size(otherSensors, 1));
 
@@ -16,10 +17,11 @@ function SINR = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, oth
     % Performance is measured as SINR for this sensor
     S = 10 .^ (0.1 .* obj.RSS(d, t, a)); % Signal
     I = zeros(size(d)); % Interference from other agents
-    for ii = 1:size(otherSensors, 2)
+    for ii = 1:size(otherSensors, 1)
         [d_other, t_other, a_other] = otherSensors{ii}.computePointToPoints(otherSensorsPos(ii, 1:3), targetPos);
         I = I + 10 .^ (0.1 .* otherSensors{ii}.RSS(d_other, t_other, a_other));
     end
 
     SINR = 10*log10(S ./ (I + obj.N));
+    SNR = 10*log10(S ./ obj.N);
 end