cleanup

@rfSensor/plotParameters.m

@@ -5,7 +5,7 @@ function f = plotParameters(obj)
     arguments (Output)
         f (1, 1) {mustBeA(f, "matlab.ui.Figure")};
     end
-
+    
     % Distance and tilt sample points
     d_values = [0.01, 0.1, 0.25, 0.5, 0.75, 1, 2, 3, 4, 5:5:100];
     % t = zeros(size(d));
@@ -15,37 +15,16 @@ function f = plotParameters(obj)
     [d_mg, t_mg] = meshgrid(d_values, t_values);
     d = d_mg(:); t = t_mg(:); % flatten
 
-    % Sample RSS function by distances, tilts
-    r_x = obj.RSS(d', t');
-
     % Sample SINR (SNR) function by distances, tilts
     % using SINR method with no other transmitters defined is equivalent to SNR
     s_x = obj.sensorPerformance(d, t); % don't define other sensors
 
     % Plot resultant sigmoid curves
     f = figure;
-    tiledlayout(f, 2, 1, "TileSpacing", "tight", "Padding", "compact");
-
-    % RSS/Distance with 0 tilt
-    nexttile(1, [1,  1]);
-    grid("on");
-    title("RSS vs Distance");
-    xlabel("Distance (m)");
-    ylabel("Tilt (deg)");
-    zlabel("RSS (dBm)");
-    hold("on");
-    surf(d_mg, t_mg, reshape(r_x, size(d_mg)));
-    hold("off");
-    % ylim([0, 1]);
-
-    % SNR/Distance with 0 tilt
-    nexttile(2, [1,  1]);
     grid("on");
     title("SNR vs Distance");
     xlabel("Distance (m)");
     ylabel("Tilt (deg)");
     zlabel("SNR (dB)");
-    hold("on");
     surf(d_mg, t_mg, reshape(s_x, size(d_mg)));
-    hold("off");
 end

test/test_rfSensor.m

@@ -22,13 +22,5 @@ classdef test_rfSensor < matlab.unittest.TestCase
 
             tc.testClass.plotParameters();
         end
-        function plot_SINR(tc)
-            % Plot sensor performance with a single source of interference
-            P_TX = 1e-3; % Transmit power (Watts)
-            BW = 20e6; % Bandwidth (Hz)
-            f_c = 2e9; % Center frequency (Hz)
-
-            tc.testClass = tc.testClass.initialize(P_TX, BW, f_c);
-        end
     end
 end