public void DbwToWattsTest() { double TOLERANCE = 0.01; double dbwInput = 14.46; double expectedValue = 27.9254; Assert.IsTrue(Math.Abs(YfactorCal.DbwToWatts(dbwInput) - expectedValue) <= TOLERANCE); }
public void WattsToDbwTest() { double TOLERANCE = 0.01; double wattInput = 15.0; double expectedValue = 11.7609; Assert.IsTrue(Math.Abs(YfactorCal.WattsToDbw(wattInput) - expectedValue) <= TOLERANCE); }
public void WattsToDbmTest() { double[] wattsInputVals = { 0.01, 0.1, 1, 100, 1000 }; double[] expectedDbmValues = { 10, 20, 30, 50, 60 }; for (int i = 0; i < wattsInputVals.Length; i++) { Assert.AreEqual(YfactorCal.WattsToDbm(wattsInputVals[i]), expectedDbmValues[i]); } }
public void DbmToWattsTest() { double[] dbmnInputVals = { 10, 20, 30, 50, 60 }; double[] expectedWattValues = { 0.01, 0.1, 1, 100, 1000 }; for (int i = 0; i < dbmnInputVals.Length; i++) { Assert.AreEqual(YfactorCal.DbmToWatts(dbmnInputVals[i]), expectedWattValues[i]); } double dbmInputVal = 25.0; double dbmExpectedVal = 0.316227766; double tolerance = .00001; Assert.IsTrue(Math.Abs(YfactorCal.DbmToWatts(dbmInputVal) - dbmExpectedVal) <= tolerance); }
public void YfactorCalTest() { // Test 1 ----------------------------------------- List <double> noiseDiodeOffInputs = new List <double> { -89.77223497, -89.59538809, -89.81342543, -89.63387354, -89.57563198, -90.31659269, -90.25265354, -89.85487336, -89.56254714, -89.66427483 }; List <double> noiseDiodeOnInputs = new List <double> { -83.57892449, -83.40207761, -83.62011495, -83.44056306, -83.38232149, -84.12328221, -84.05934306, -83.66156288, -83.36923666, -83.47096435 }; double enr = 10.0; // db double enbw = 1e6; // Hz double cableLoss = 1.0; double antennaGain = 1.0; double rbw = 1e3; double dwellTime = 0.0; // mean values of gain and noise figure arrays // from noiseDiode on and off inputs double expectedGain = 19.1730796; double expectedNoiseFigure = 5.0; double TOLERANCE = 0.2; YfactorCal yFactor = new YfactorCal(noiseDiodeOnInputs, noiseDiodeOffInputs, rbw, enbw, dwellTime, enr, cableLoss, antennaGain); Assert.IsTrue(Math.Abs(yFactor.MeanNoiseFigureDbw - expectedNoiseFigure) <= TOLERANCE); Assert.IsTrue(Math.Abs(yFactor.MeanGainDbw - expectedGain) <= TOLERANCE); // Test 2 -------------------------------------------- List <double> noiseDiodeOffInputs2 = new List <double>(); List <double> noiseDiodeOnInputs2 = new List <double>(); GetListOfValuesFromCsv(noiseDiodeOffInputs2, Constants.NoiseDiodeOffInputs); GetListOfValuesFromCsv(noiseDiodeOnInputs2, Constants.NoiseDiodeOnInputs); double rbw2 = 437500; double enbw2 = 962500; double dwellTime2 = 0.1; double enr2 = 14.46; double gain2 = 1.5; double cableLoss2 = 0.8; double antennaGain2 = -1; YfactorCal yFactor2 = new YfactorCal(noiseDiodeOnInputs2, noiseDiodeOffInputs2, rbw2, enbw2, dwellTime2, enr2, cableLoss2, antennaGain2); List <double> expectedNoiseFigure2 = new List <double>(); List <double> expectedGain2 = new List <double>(); GetListOfValuesFromCsv(expectedNoiseFigure2, Constants.ExpectedNoiseFigure); GetListOfValuesFromCsv(expectedGain2, Constants.ExcpectedGain); double meanExpectedNoiseFigure2 = 0; double meanExpectedGain2 = 0; for (int i = 0; i < expectedGain2.Count; i++) { meanExpectedGain2 += expectedGain2[i]; meanExpectedNoiseFigure2 += expectedNoiseFigure2[i]; } meanExpectedNoiseFigure2 /= expectedNoiseFigure2.Count; meanExpectedGain2 /= expectedGain2.Count; Assert.IsTrue(Math.Abs(yFactor2.MeanGainDbw - meanExpectedGain2) <= TOLERANCE); Assert.IsTrue(Math.Abs(yFactor2.MeanNoiseFigureDbw - meanExpectedNoiseFigure2) <= TOLERANCE); }