cleanup before refactoring

@rfSensor/antennaGain.m

@@ -8,5 +8,6 @@ function value = antennaGain(obj, t)
     end
 
     % TODO
-    value = 10*log10(1);
+    % Temporary logic to make nadir-pointing most effective
+    value = 10*log10(cosd(t));
 end

@rfSensor/initialize.m

@@ -1,9 +1,16 @@
-function obj = initialize(obj)
+function obj = initialize(obj, txPower, bandwidth, centerFreq)
     arguments (Input)
         obj (1, 1) {mustBeA(obj, "rfSensor")}
+        txPower (1, 1) double;
+        bandwidth (1, 1) double;
+        centerFreq (1, 1) double;
     end
     arguments (Output)
         obj (1, 1) {mustBeA(obj, "rfSensor")}
     end
 
+    obj.P_TX = txPower;
+    obj.BW = bandwidth;
+    obj.f_c = centerFreq;
+    
 end

@rfSensor/plotParameters.m

@@ -9,6 +9,7 @@ function f = plotParameters(obj)
     % Distance and tilt sample points
     d = [0.01, 0.1, 0.25, 0.5, 0.75, 1:1:100];
     t  = zeros(size(d));
+    t = -90:1:90;
 
     % Sample RSS function by distances, tilts
     r_x = obj.RSS(d', t');

@rfSensor/rfSensor.m

@@ -5,13 +5,13 @@ classdef rfSensor
         k_B = 1.38e-23 % Boltzmann constant (W/Hz/K) for thermal noise model
         T_0 = 300; % Ambient temperature (Kelvin) for thermal noise model
         % Sensor parameters
-        P_TX = 10e-3; % Transmit power (Watts)
-        BW = 1e6; % Bandwidth (Hz)
-        f_c = 2e9; % Center frequency (Hz)
+        P_TX = NaN; % Transmit power (Watts)
+        BW = NaN; % Bandwidth (Hz)
+        f_c = NaN; % Center frequency (Hz)
     end
 
     methods (Access = public)
-        [obj] = initialize(obj, alphaDist, betaDist, alphaTilt, betaTilt); % TODO initialize sensor, define parameters
+        [obj] = initialize(obj, txPower, bandwidth, centerFreq); % TODO initialize sensor, define parameters
         [SINR] = sensorPerformance(obj, agentPos, agentPan, agentTilt, targetPos); % 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
     end

test/test_rfSensor.m

@@ -8,18 +8,28 @@ classdef test_rfSensor < matlab.unittest.TestCase
         function tc = setup(tc)
             % Reinitialize sensor with random parameters
             tc.testClass = rfSensor;
-            % TODO
-            tc.testClass = tc.testClass.initialize();
         end
     end
 
     methods (Test)
-        % Test methods
+        function plot_SNR(tc)
+            % Plot sensor performance with no sources 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);
 
-        function test_SINR(tc)
             tc.testClass.plotParameters();
-            % [SINR] = tc.testClass.sensorPerformance(obj, agentPos, agentPan, agentTilt, targetPos);
         end
-    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