/// <summary>
/// 噪声系数计算公式
/// </summary>
/// <param name="inputLoss">输入开关矩阵的损耗，正值</param>
/// <param name="outputLoss">输出开关矩阵的损耗，正值</param>
/// <param name="TotalNoiseFigure">读取的总的噪声系数</param>
/// <param name="TotalGain">读取的总的增益</param>
public static int NoisFigureCalculation(double inputLoss, double outputLoss, double TotalNoiseFigure, double TotalGain, out NoseFigureCalResult noiseFigureCalResult)
{
//目前默认两个衰减值都是取负数，如果统一改为正数，则需要修改符号。
double tempGain = TotalGain - inputLoss - outputLoss; //去除输入开关,输出开关矩阵矩阵衰减之后,DUT增益
double tempNoisFigure = TotalNoiseFigure + inputLoss; //去除输入开关矩阵之后，DUT和输出开关矩阵的总的噪声系数
double linearTempGain = Math.Pow(10, 0.1 * tempGain);
double linearTemNoiseFigure = Math.Pow(10, 0.1 * tempNoisFigure);
double linearOutputMatrixNoiseFigure = Math.Pow(10, 0.1 * Math.Abs(outputLoss)); //此处将输出开关矩阵的损耗值（正的），直接作为输出开关矩阵的噪声系数进行运算
double linearDUTNoiseFigure = linearTemNoiseFigure - ((linearOutputMatrixNoiseFigure - 1) / linearTempGain);
noiseFigureCalResult.RealNoiseFigure = 10 * Math.Log10(linearDUTNoiseFigure);
noiseFigureCalResult.RealGain = tempGain;
return(0);
}
/// <summary>
/// 执行测试过程
/// </summary>
/// <param name="inSys">SystemHardware</param>
/// <param name="m_NoiseFigureParameter">参数</param>
/// <param name="m_NoiseFigureTestResult">结果</param>
/// <returns>0：正常返回，，，，-1：强制中断</returns>
public static int ExecuteTest(
SystemHardware inSys,
NoiseFigureTestStructParameter m_NoiseFigureParameter,
out NoiseFigureTestStructResult m_NoiseFigureTestResult
)
{
try
{
#if Simulate
m_NoiseFigureTestResult = new NoiseFigureTestStructResult();
m_NoiseFigureTestResult.m_FreqList = m_NoiseFigureParameter.m_FreqList;
m_NoiseFigureTestResult.m_Gain = new double[m_NoiseFigureParameter.m_FreqList.Length];
m_NoiseFigureTestResult.m_NoiseFigure = new double[m_NoiseFigureParameter.m_FreqList.Length];
for (int i = 0; i < m_NoiseFigureTestResult.m_NoiseFigure.Length; i++)
{
m_NoiseFigureTestResult.m_NoiseFigure[i] = 3 + 0.1 * i;
}
//噪声系数最大值的仿真处理
m_NoiseFigureTestResult.m_NoiseFigureMax = 3 + 0.1 * (m_NoiseFigureTestResult.m_NoiseFigure.Length - 1);
//最大值频点位置
m_NoiseFigureTestResult.m_FreqForNoiseFigureMax
= m_NoiseFigureTestResult.m_FreqList[m_NoiseFigureTestResult.m_FreqList.Length - 1];
string ImagefileName = AppDomain.CurrentDomain.BaseDirectory + @"\屏幕截图仿真\噪声系数测试样图.png";
m_NoiseFigureTestResult.m_ScreenImage = Image.FromFile(ImagefileName);
Thread.Sleep(100);
DUTCtrl.CaptureDUTMonitorinfo(out tmpDutMonitorInfo);
GlobalStatusReport.Report("噪声系数测试：仿真测试结果");
return(0);
#endif
m_NoiseFigureTestResult = new NoiseFigureTestStructResult();
m_NoiseFigureTestResult.m_FreqList = m_NoiseFigureParameter.m_FreqList;
m_NoiseFigureTestResult.m_NoiseFigure = new double[m_NoiseFigureParameter.m_FreqList.Length];
m_NoiseFigureTestResult.m_Gain = new double[m_NoiseFigureParameter.m_FreqList.Length];
inSys.SpectrumAnalyzer.Timeout = 30 * 1000;
//inSys.SpectrumAnalyzer.SaveStateToPath("D:/User_My_Documents/Instrument/My Documents/SA/state/CalStateTemp.state");
//inSys.SpectrumAnalyzer.WaitOpc();
//频谱仪复位
inSys.SpectrumAnalyzer.AutoAlignEnabled = false;
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.Preset();
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.NoiseFigureMode();
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.ModePreset();
inSys.SpectrumAnalyzer.WaitOpc();
if (m_NoiseFigureParameter.m_RecallStateFileEnable)
{
inSys.SpectrumAnalyzer.LoadStateFromPath(m_NoiseFigureParameter.m_RecallStateFileName);
}
else
{
//无需调用原有的状态文件时，则重新调用当前状态，抵消仪表reset带来的影响。
inSys.SpectrumAnalyzer.LoadState("CalStateTemp");
}
inSys.SpectrumAnalyzer.SendSCPI(":NFIG:CAL:STAT ON");
inSys.SpectrumAnalyzer.WaitOpc();
//次数设置测试所使用的参数
//频谱仪设置
inSys.SpectrumAnalyzer.StartFrequency = m_NoiseFigureParameter.m_StartFerq;
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.StopFrequency = m_NoiseFigureParameter.m_StopFerq;
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.NF_RBW = m_NoiseFigureParameter.m_RBW;
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.Averages = m_NoiseFigureParameter.m_AverageNum;
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.SweepPoints = m_NoiseFigureParameter.m_SweepPoints;
inSys.SpectrumAnalyzer.WaitOpc();
//关闭连续扫描
inSys.SpectrumAnalyzer.ContinuousSweepEnabled = false;
inSys.SpectrumAnalyzer.WaitOpc();
//设置显示窗口Zoom，将Gain的曲线隐藏，调试时请屏蔽代码，用于观察信号。
//inSys.SpectrumAnalyzer.SelectDisplayWindow(1);
//inSys.SpectrumAnalyzer.WaitOpc();
//inSys.SpectrumAnalyzer.SetWindowZoom(true);
//inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.SetNFWindowAutoScale(1, true);
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.SetNFWindowAutoScale(2, true);
inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.SetDisPlayFormat(SpectrumAnalyzer.DisPlayModeType.GRAPh);
inSys.SpectrumAnalyzer.WaitOpc();
//路径补偿数据
//inSys.SpectrumAnalyzer.NoiseFigureLossCompModeBeforeDUT(SpectrumAnalyzer.NoiseFigureLossCompMode.TABL);
//inSys.SpectrumAnalyzer.WaitOpc();
//inSys.SpectrumAnalyzer.NoiseFigureLossCompModeAfterDUT(SpectrumAnalyzer.NoiseFigureLossCompMode.TABL);
//inSys.SpectrumAnalyzer.WaitOpc();
//inSys.SpectrumAnalyzer.SetLossCompTableBeforeDUT(m_NoiseFigureParameter.m_LossCompTabelBeforeDUT); //2014.3.11改变噪声系数补偿方式，不采用beforeDUT，afterDUT的补偿方式，改为程序自己计算。苏渊红。
//inSys.SpectrumAnalyzer.WaitOpc();
//inSys.SpectrumAnalyzer.SetLossCompTableAfterDUT(m_NoiseFigureParameter.m_LossCompTabelAfterDUT);
//inSys.SpectrumAnalyzer.WaitOpc();
//启动扫描一次
inSys.SpectrumAnalyzer.Sweep();
//inSys.SpectrumAnalyzer.WaitOpc();
inSys.SpectrumAnalyzer.WaitOpc(Convert.ToInt32(m_NoiseFigureParameter.m_SweepPoints * m_NoiseFigureParameter.m_AverageNum * 1000));
//读取噪声系数测试结果
inSys.SpectrumAnalyzer.SetMarkerModeByIndex(SpectrumAnalyzer.MarkerModeType.Position, 1);
inSys.SpectrumAnalyzer.WaitOpc();
double temp_maxNF = 0;
double temp_maxNFFreq = 0;
for (int i = 0; i < m_NoiseFigureParameter.m_FreqList.Length; i++)
{
inSys.SpectrumAnalyzer.SetMarkerPositionByIndex(m_NoiseFigureParameter.m_FreqList[i], 1);
inSys.SpectrumAnalyzer.WaitOpc();
double tempNF = inSys.SpectrumAnalyzer.GetMarkerNFValueByIndex(1);
inSys.SpectrumAnalyzer.WaitOpc();
double tempGain = inSys.SpectrumAnalyzer.GetMarkerGainValueByIndex(1);
inSys.SpectrumAnalyzer.WaitOpc();
m_NoiseFigureTestResult.m_NoiseFigure[i] = Math.Round(tempNF, 2);
m_NoiseFigureTestResult.m_Gain[i] = Math.Round(tempGain, 2);
//add 2014.03.11，噪声系数计算公式--根据总的噪声系数和增益，计算被测DUT实际的噪声系数
#region 真实噪声系数计算
NoseFigureCalResult RealNFResult = new NoseFigureCalResult();
//todo
double inputRouteLossIndB = 0;
//m_NoiseFigureParameter.m_InputRouteLossCalResultForOnePath.GetRouteLossIndBAtFreq(m_NoiseFigureParameter.m_FreqList[i]);
double outputRouteLossIndB =
0;
NoisFigureCalculation(inputRouteLossIndB, outputRouteLossIndB, tempNF, tempGain, out RealNFResult);
m_NoiseFigureTestResult.m_NoiseFigure[i] = Math.Round(RealNFResult.RealNoiseFigure, 2);
m_NoiseFigureTestResult.m_Gain[i] = Math.Round(RealNFResult.RealGain, 2);
if (m_NoiseFigureTestResult.m_NoiseFigure[i] > temp_maxNF)//追踪最大噪声系数的点
{
temp_maxNF = m_NoiseFigureTestResult.m_NoiseFigure[i];
temp_maxNFFreq = m_NoiseFigureParameter.m_FreqList[i];
}
#endregion 真实噪声系数计算
}
if (m_NoiseFigureParameter.m_IsReadMaxNoiseFigure)
{
m_NoiseFigureTestResult.m_NoiseFigureMax = temp_maxNF;
m_NoiseFigureTestResult.m_FreqForNoiseFigureMax = temp_maxNFFreq;
}
if (m_NoiseFigureParameter.Yscale > 0) // Scale大于零这进行设置，如果不是大于0，代表采用Auto
{
string YscaleString = m_NoiseFigureParameter.Yscale.ToString();
inSys.SpectrumAnalyzer.SendSCPI("DISP:WIND:TRAC:Y:PDIV " + YscaleString);
inSys.SpectrumAnalyzer.WaitOpc();
}
m_NoiseFigureTestResult.m_ScreenImage = inSys.SpectrumAnalyzer.CaptureScreenImage();
//重置仪表
//inSys.SpectrumAnalyzer.Preset();
//inSys.SpectrumAnalyzer.WaitOpc();
//判断是否进行调试模式，如果是，则不关闭激励，并且将仪器扫描方式改成连续扫描
if (m_NoiseFigureParameter.m_NeedContinuousScanning)
{
inSys.SpectrumAnalyzer.ContinuousSweepEnabled = true;
inSys.SpectrumAnalyzer.WaitOpc();
}
inSys.SpectrumAnalyzer.Timeout = 10 * 1000;
return(0);
}
catch (Exception ex)
{
GlobalStatusReport.ReportError(ex);
throw ex;
}
}
