void m_queue_TEvent(DataAndFreq t)
{
IQDataAndFreq nIQDataAndFreq = null;
int dataLength = t.Ai_Data.Length / 20 * 2;
//(重要)保持多线程数据一致行所做的必要处理
int mm_Resolution = m_Resolution, Resolution_length = mm_Resolution * 512;
if (Resolution_length != IQDataResolution.Length)
{
ResolutionIndex = 0;
IQDataResolution = new double[Resolution_length];
IQDataResolutionOrg = new double[Resolution_length];
}
int BaseIndex = dataLength * ResolutionIndex;
for (int i = 0; i < dataLength / 2; ++i)
{
IQDataResolutionOrg[BaseIndex + 2 * i] = (double)t.Ar_Data[i];
IQDataResolutionOrg[BaseIndex + 2 * i + 1] = (double)t.Ai_Data[i];
}
if (++ResolutionIndex < mm_Resolution)//凑包个数计数
{
return;
}
ResolutionIndex = 0;
//对不同分辨率(长度)的数据进行加窗处理
int mm_Resolution_Index = (int)Math.Log(mm_Resolution, 2);
for (int i = 0; i < IQDataResolution.Length / 2; i++)
{
IQDataResolution[2 * i] = IQDataResolutionOrg[2 * i] * Window[mm_Resolution_Index][i];
IQDataResolution[2 * i + 1] = IQDataResolutionOrg[2 * i + 1] * Window[mm_Resolution_Index][i];
}
nIQDataAndFreq = new IQDataAndFreq(t.StartFreq, t.StopFreq, t.Type, t.RF_Gain, t.Digital_Gain);//构造结构体
nIQDataAndFreq.Data = IQDataResolution;
///分发至时域处理类
DataIQWaveform.PushData(IQDataResolutionOrg);
//进入此处必然处理下一包 需要为下一包申请指向新空间
IQDataResolution = new double[Resolution_length];
IQDataResolutionOrg = new double[Resolution_length];
///分发至频域处理类
DataFrequencySpectrum.PushData(nIQDataAndFreq);
}
void m_queue_TEvent(IQDataAndFreq t)
{
double[] outData = new double[t.Data.Length];
int mm_SmoothNum = m_SmoothNum;
double offset = 0;
int m_RFGain;
int m_DigitalGain;
if (t.Type == 3)
{
Array.Copy(t.Data, 0, outData, 0, t.Data.Length);
for (int k = 0; k < outData.Length; k++)
{
IQdata[k][SmoothIndex] = outData[k];
}
offset = 133 - 11.85;
}
else
{
hdin = GCHandle.Alloc(t.Data, GCHandleType.Pinned);
hdout = GCHandle.Alloc(outData, GCHandleType.Pinned);
dplan = fftw.dft_1d(t.Data.Length / 2, hdin.AddrOfPinnedObject(), hdout.AddrOfPinnedObject(), fftw_direction.Forward, fftw_flags.Measure);
fftw.execute(dplan);
fftw.destroy_plan(dplan);
hdin.Free();
hdout.Free();
for (int k = 0; k < outData.Length / 2; k++)
{
double dou1 = Math.Pow(outData[k * 2], 2.0);
double dou2 = Math.Pow(outData[k * 2 + 1], 2.0);
double dou3 = dou1 + dou2;
IQdata[k][SmoothIndex] = Math.Pow(dou3, 0.5);
}
int Resolution_Offset = (int)(6 * (Math.Log(t.Data.Length, 2) - 10));
if (t.Type == 2)
{
offset = 133 - 7 + Resolution_Offset;
}
else if (t.Type == 1)
{
offset = 133 + 8.63 + Resolution_Offset + (m_DataProcessing.DigitialGain_24db ? 24 : 0) + (m_DataProcessing.LowNoise ? 12 : 0);
}
}
double[] power = null;
if (t.Type == 3)
{
power = new double[outData.Length];
for (int i = 0; i < outData.Length; i++)
{
double sum = 0;
for (int j = 0; j < mm_SmoothNum; j++)
{
sum += IQdata[i][j];
}
sum /= mm_SmoothNum;
m_DigitalGain = Convert.ToInt32(t.Digital_Gain[i * 57 / outData.Length]);
m_RFGain = Convert.ToInt32(t.RF_Gain[i / outData.Length]);
power[i] = sum / 10 - offset + m_DigitalGain + m_RFGain;
}
}
else if (t.Type == 2)
{
power = new double[outData.Length / 2];
for (int i = 0; i < outData.Length / 2; i++)
{
double sum = 0;
for (int j = 0; j < mm_SmoothNum; j++)
{
sum += IQdata[i][j];
}
sum /= mm_SmoothNum;
m_DigitalGain = Convert.ToInt32(t.Digital_Gain[i * 40 / outData.Length]);
m_RFGain = Convert.ToInt32(t.RF_Gain[0]);
power[i] = Math.Log10(sum) * 20 - offset + m_DigitalGain + m_RFGain;
}
}
else
{
power = new double[outData.Length / 2];
for (int i = 0; i < outData.Length / 2; i++)
{
double sum = 0;
for (int j = 0; j < mm_SmoothNum; j++)
{
sum += IQdata[i][j];
}
sum /= mm_SmoothNum;
power[i] = Math.Log10(sum) * 20 - offset;
}
}
//平滑处理
if (++SmoothIndex >= mm_SmoothNum)
{
SmoothIndex = 0;
}
//数据传递
PowerAndFreq nPowerAndFreq = new PowerAndFreq();
power.Reverse <double>();//倒谱处理
long powerLength = power.Length / 2;
if (t.Type == 3)
{
nPowerAndFreq.Power = power;
}
else
{
nPowerAndFreq.Power = new double[power.Length];
Array.Copy(power, powerLength, nPowerAndFreq.Power, 0, powerLength);
Array.Copy(power, 0, nPowerAndFreq.Power, powerLength, powerLength);
}
switch (t.Type)
{
case 1:
{
if (m_DataProcessing.nbddcbandwidth >= 1 && m_DataProcessing.nbddcbandwidth <= 6)
{
double off = 0.00425 - (m_DataProcessing.nbddcbandwidth - 1) * 10 * 0.00005;
nPowerAndFreq.StartFreq = t.StartFreq - off;
nPowerAndFreq.StopFreq = t.StopFreq + off;
}
else if (m_DataProcessing.nbddcbandwidth >= 9 && m_DataProcessing.nbddcbandwidth <= 15)
{
double off = 0.005 - (m_DataProcessing.nbddcbandwidth - 9) * 0.0005;
nPowerAndFreq.StartFreq = t.StartFreq - off;
nPowerAndFreq.StopFreq = t.StopFreq + off;
}
else if (m_DataProcessing.nbddcbandwidth == 30)
{
nPowerAndFreq.StartFreq = t.StartFreq - 0.0089;
nPowerAndFreq.StopFreq = t.StopFreq + 0.0089;
}
else if (m_DataProcessing.nbddcbandwidth == 50)
{
nPowerAndFreq.StartFreq = t.StartFreq - 0.0228;
nPowerAndFreq.StopFreq = t.StopFreq + 0.0228;
}
break;
}
case 2:
{
nPowerAndFreq.StartFreq = t.StartFreq - 0.07 - 0.640 / power.Length;
nPowerAndFreq.StopFreq = t.StopFreq + 0.07;
break;
}
case 3:
{
nPowerAndFreq.StartFreq = t.StartFreq;
nPowerAndFreq.StopFreq = t.StopFreq;
break;
}
}
SaveFrequencySpectrum(nPowerAndFreq.Power);
if (passPowerAndFreq != null)
{
passPowerAndFreq(nPowerAndFreq);
}
}
public void PushData(IQDataAndFreq t)
{
m_queue.Enqueue(t);
}
