private void button_export_Click(object sender, EventArgs e)
{
bool fillWithZero = checkBox1.Checked;
int intervalSec = (int)(double.Parse(textBox_interval.Text) * 60);
var ModelLength = (int)(24 * double.Parse(textBox_ModelLength.Text)) * 3600 / intervalSec;
var PredictedLength = (int)(24 * double.Parse(textBox_PredictedLength.Text)) * 3600 / intervalSec;
var directory = this.directorySelectionControl1.Path;
Geo.Utils.FileUtil.CheckOrCreateDirectory(directory);
var PredictedNumber = int.Parse(textBox_PredictedNumber.Text);
string[] pathes = this.textBox_Pathes.Lines;
EphemerisDataSourceFactory fac = new EphemerisDataSourceFactory();
coll = new SequentialFileEphemerisService(fac, pathes);
int allSec = (int)coll.TimePeriod.Span;
Time end = coll.TimePeriod.End + intervalSec;
List <SatelliteNumber> prns = new List <SatelliteNumber> ();
if (this.IsSelectedPrn.Checked)
{
prns = SatelliteNumber.ParsePRNsBySplliter(textBox_satPrns.Text, new char[] { ',' });
}
else
{
prns = coll.Prns;
}
List <double> list = new List <double>();
Dictionary <string, SSE> ListOfSSE = new Dictionary <string, SSE>();
string approach = null;
#region 逐个卫星进行钟差预报
for (int number = 0; number < PredictedNumber; number++)
{
sp3ofPredicted = new Sp3File();
foreach (var prn in prns)
{
int GlideEpochNumber = int.Parse(this.textBox1_GlideEpochNumber.Text);//滑动历元历元数
ArrayMatrix OringalClock = new ArrayMatrix(ModelLength, 1);
ArrayMatrix CompareClock = new ArrayMatrix(PredictedLength, 1);
#region 获取建模，比较数据等
Time StartOfModel = coll.TimePeriod.Start + number * GlideEpochNumber * intervalSec;
Time EndOfModel = StartOfModel + (ModelLength - 1) * intervalSec;
Time StartOfPredicted = EndOfModel + intervalSec;
Time EndOfPredicted = StartOfPredicted + (PredictedLength - 1) * intervalSec;
var OriginalClockData = coll.Gets(prn, StartOfModel, EndOfModel);
var PredictedClockData = coll.Gets(prn, StartOfPredicted, EndOfPredicted);
int ModelDataNumberIndex = 0;
int PredictedDataNumberIndex = 0;
bool IsNeedFilling = false;
for (Time i = StartOfModel; i <= EndOfModel; i = i + intervalSec)
{
var findofmodel = OriginalClockData.SingleOrDefault(m => m.Time == i);
if (findofmodel == null)
{
if (!fillWithZero)
{
continue;
}
IsNeedFilling = true;
findofmodel = new Ephemeris()
{
Time = i, Prn = prn
};
}
OringalClock[ModelDataNumberIndex, 0] = findofmodel.ClockBias;
ModelDataNumberIndex++;
}
if (IsNeedFilling)
{
QuadraticPolynomialModel Filling = new QuadraticPolynomialModel();
Filling.FillingCalculate(OringalClock, intervalSec);
}
for (Time i = StartOfPredicted; i <= EndOfPredicted; i = i + intervalSec)
{
var findofpredicted = PredictedClockData.SingleOrDefault(m => m.Time == i);
if (findofpredicted == null)
{
if (!fillWithZero)
{
continue;
}
findofpredicted = new Ephemeris()
{
Time = i, Prn = prn
};
}
CompareClock[PredictedDataNumberIndex, 0] = findofpredicted.ClockBias;
PredictedDataNumberIndex++;
}
#endregion
ArrayMatrix Data = null;
if (radioButton_QP.Checked)
{
approach = "QP"; QuadraticPolynomialModel QuadraticPolynomialModel = new QuadraticPolynomialModel(); QuadraticPolynomialModel.Calculate(OringalClock, CompareClock, intervalSec); Data = QuadraticPolynomialModel.PredictedData;
}
if (radioButton_QPT1.Checked)
{
approach = "QPT1"; QuadraticPolynomialT1 QuadraticPolynomialT1 = new QuadraticPolynomialT1(); QuadraticPolynomialT1.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialT1.PredictedRms); Data = QuadraticPolynomialT1.PredictedData;
}
if (radioButton_QPT2.Checked)
{
approach = "QPT2"; QuadraticPolynomialT2 QuadraticPolynomialT2 = new QuadraticPolynomialT2(); QuadraticPolynomialT2.Calculate(OringalClock, CompareClock, intervalSec, prn); list.Add(QuadraticPolynomialT2.PredictedRms); Data = QuadraticPolynomialT2.PredictedData;
}
if (radioButton_QPT3.Checked)
{
approach = "QPT3"; QuadraticPolynomialT3 QuadraticPolynomialT3 = new QuadraticPolynomialT3(); QuadraticPolynomialT3.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialT3.PredictedRms); Data = QuadraticPolynomialT3.PredictedData;
}
if (radioButton_QPT4.Checked)
{
approach = "QPT4"; QuadraticPolynomialT4 QuadraticPolynomialT4 = new QuadraticPolynomialT4(); QuadraticPolynomialT4.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialT4.PredictedRms); Data = QuadraticPolynomialT4.PredictedData;
}
if (radioButton_QPGM.Checked)
{
approach = "QPGM"; QuadraticPolynomialGM QuadraticPolynomialGM = new QuadraticPolynomialGM(); QuadraticPolynomialGM.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialGM.PredictedRms); Data = QuadraticPolynomialGM.PredictedData;
}
if (radioButton_QPT2GM.Checked)
{
approach = "QPT2GM"; QuadraticPolynomialT2GM QuadraticPolynomialT2GM = new QuadraticPolynomialT2GM(); QuadraticPolynomialT2GM.Calculate(OringalClock, CompareClock, intervalSec, prn); list.Add(QuadraticPolynomialT2GM.PredictedRms); Data = QuadraticPolynomialT2GM.PredictedData;
}
if (radioButton_QPT4GM.Checked)
{
approach = "QPT4GM"; QuadraticPolynomialT4GM QuadraticPolynomialT4GM = new QuadraticPolynomialT4GM(); QuadraticPolynomialT4GM.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialT4GM.PredictedRms); Data = QuadraticPolynomialT4GM.PredictedData;
}
if (radioButton_LP.Checked)
{
approach = "LP"; LinearPolynomialModel LinearPolynomialModel = new LinearPolynomialModel(); LinearPolynomialModel.Calculate(OringalClock, CompareClock, intervalSec); list.Add(LinearPolynomialModel.PredictedRms); Data = LinearPolynomialModel.PredictedData;
}
if (radioButton_DLP.Checked)
{
approach = "DLP"; DLinearPolynomialModel DLinearPolynomialModel = new DLinearPolynomialModel(); DLinearPolynomialModel.Calculate(OringalClock, CompareClock, intervalSec); list.Add(DLinearPolynomialModel.PredictedRms); Data = DLinearPolynomialModel.PredictedData;
}
if (radioButton_RobustDLP.Checked)
{
approach = "RobustDLP";
RobustDLinearPolynomial RobustDLinearPolynomial = new RobustDLinearPolynomial();
RobustDLinearPolynomial.Calculate(OringalClock, CompareClock, intervalSec);
list.Add(RobustDLinearPolynomial.PredictedRms);
Data = RobustDLinearPolynomial.PredictedData;
SSE a = new SSE();
a = GetSSE(RobustDLinearPolynomial);
ListOfSSE.Add(prn.ToString() + '-' + number, a);
}
if (radioButton_RobustLP.Checked)
{
approach = "RobustLP"; RobustLinearPolynomial RobustLinearPolynomial = new RobustLinearPolynomial(); RobustLinearPolynomial.Calculate(OringalClock, CompareClock, intervalSec); list.Add(RobustLinearPolynomial.PredictedRms); Data = RobustLinearPolynomial.PredictedData;
}
if (radioButton_GM.Checked)
{
approach = "GM";
ArrayMatrix GMOringalClock1 = new ArrayMatrix(8, 1);
for (int GMIndex = 0; GMIndex < 8; GMIndex++)
{
GMOringalClock1[GMIndex, 0] = OringalClock[ModelLength - (8 - GMIndex), 0];
}
GreyModel GreyModel1 = new GreyModel();
SSE a = new SSE();
GreyModel1.Calculate(GMOringalClock1, CompareClock, intervalSec);
a = GetSSE(GreyModel1);
ListOfSSE.Add(prn.ToString() + '-' + number, a);
Data = GreyModel1.PredictedData;
}
if (radioButton_KFAllan.Checked)
{
approach = "KFAllan"; KalmanAllan KalmanAllan = new KalmanAllan(); KalmanAllan.Calculate(OringalClock, CompareClock, intervalSec); list.Add(KalmanAllan.PredictedRms); Data = KalmanAllan.PredictedData;
}
if (radioButton_KFHardamard.Checked)
{
approach = "KFHardamard"; KalmanHardamard KalmanHardamard = new KalmanHardamard(); KalmanHardamard.Calculate(OringalClock, CompareClock, intervalSec); list.Add(KalmanHardamard.PredictedRms); Data = KalmanHardamard.PredictedData;
}
if (radioButton_KFReHardamard.Checked)
{
approach = "KFReHardamard"; KalmanRecursionHardamard KalmanRecursionHardamard = new KalmanRecursionHardamard(); KalmanRecursionHardamard.Calculate(OringalClock, CompareClock, intervalSec); list.Add(KalmanRecursionHardamard.PredictedRms); Data = KalmanRecursionHardamard.PredictedData;
}
if (radioButton_KFReAllan.Checked)
{
approach = "KFReAllan"; KalmanRecursionAllan KalmanRecursionAllan = new KalmanRecursionAllan(); KalmanRecursionAllan.Calculate(OringalClock, CompareClock, intervalSec); list.Add(KalmanRecursionAllan.PredictedRms); Data = KalmanRecursionAllan.PredictedData;
}
for (int i0 = 0; i0 < Data.RowCount; i0++)
{
var sat = new Ephemeris();
sat.Prn = prn;
sat.Time = StartOfPredicted + i0 * intervalSec;
sat.ClockBias = Data[i0, 0];
if (!(sp3ofPredicted.Contains(sat.Time)))
{
sp3ofPredicted.Add(sat.Time, new Sp3Section());
}
sp3ofPredicted[sat.Time].Add(sat.Prn, sat);
}
sp3ofPredicted.Prns.Add(prn);
}
OutputOfPredictedClock(directory, approach, number);
}
#endregion
OutputOfSSE(directory, ListOfSSE, approach);
Geo.Utils.FileUtil.OpenDirectory(directory);
}
private void button_export_Click(object sender, EventArgs e)
{
bool fillWithZero = checkBox1.Checked;
var intervalSec = int.Parse(textBox_interval.Text) * 60;
var directory = this.directorySelectionControl1.Path;
Geo.Utils.FileUtil.CheckOrCreateDirectory(directory);
var ModelLength = (int)(24 * double.Parse(textBox_ModelLength.Text)) * 3600 / intervalSec;
var PredictedLength = (int)(24 * double.Parse(textBox_PredictedLength.Text)) * 3600 / intervalSec;
var PredictedNumber = int.Parse(textBox_PredictedNumber.Text);
var prns = SatelliteNumber.ParsePRNsBySplliter(textBox_satPrns.Text, new char[] { ',' });
Dictionary <SatelliteNumber, StreamWriter> prnWriters = new Dictionary <SatelliteNumber, StreamWriter>();
foreach (var item in prns)
{
var path = Path.Combine(directory, item.ToString() + ".xls");
prnWriters[item] = new StreamWriter(new FileStream(path, FileMode.Create));
}
string[] pathes = this.textBox_Pathes.Lines;
coll = new MultiFileClockService(pathes);
int allSec = (int)coll.TimePeriod.Span;
Time end = coll.TimePeriod.End + intervalSec;
List <double> list = new List <double>();
Dictionary <string, SSE> ListOfSSE = new Dictionary <string, SSE>();
string approach = null;
#region 逐个卫星进行钟差预报
clkofPredicted = new ClockFile();
clkofPredicted.Header = new ClockFileHeader();
clkofPredicted.Header.PrnList = new List <SatelliteNumber>();
for (int number = 0; number < PredictedNumber; number++)
{
foreach (var prn in prns)
{
var writer = prnWriters[prn];
//List<double> colName = new List<double>();
var all = coll.Gets(prn, coll.TimePeriod.Start, end);
ArrayMatrix OringalClock = new ArrayMatrix(ModelLength, 1);
ArrayMatrix CompareClock = new ArrayMatrix(PredictedLength, 1);
Time StartOfModel = coll.TimePeriod.Start;
Time EndOfModel = StartOfModel + (ModelLength - 1) * intervalSec;
Time StartOfPredicted = EndOfModel + intervalSec;
Time EndOfPredicted = StartOfPredicted + (PredictedLength - 1) * intervalSec;
int DataNumberIndex = 0;
int ModelDataNumberIndex = 0;
int PredictedDataNumberIndex = 0;
GetClockData(fillWithZero, intervalSec, ModelLength, PredictedLength, end, prn, all, OringalClock, CompareClock, number, DataNumberIndex, ModelDataNumberIndex, PredictedDataNumberIndex);
if (IsNeedFilling)
{
QuadraticPolynomialModel Filling = new QuadraticPolynomialModel();
Filling.FillingCalculate(OringalClock, intervalSec);
}
ArrayMatrix Data = null;
if (radioButton_QP.Checked)
{
approach = "QP"; QuadraticPolynomialModel QuadraticPolynomialModel = new QuadraticPolynomialModel(); QuadraticPolynomialModel.Calculate(OringalClock, CompareClock, intervalSec); Data = QuadraticPolynomialModel.PredictedData;
}
if (radioButton_QPT1.Checked)
{
approach = "QPT1"; QuadraticPolynomialT1 QuadraticPolynomialT1 = new QuadraticPolynomialT1(); QuadraticPolynomialT1.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialT1.PredictedRms); Data = QuadraticPolynomialT1.PredictedData;
}
if (radioButton_QPT2.Checked)
{
approach = "QPT2"; QuadraticPolynomialT2 QuadraticPolynomialT2 = new QuadraticPolynomialT2(); QuadraticPolynomialT2.Calculate(OringalClock, CompareClock, intervalSec, prn); list.Add(QuadraticPolynomialT2.PredictedRms); Data = QuadraticPolynomialT2.PredictedData;
}
if (radioButton_QPT3.Checked)
{
approach = "QPT3"; QuadraticPolynomialT3 QuadraticPolynomialT3 = new QuadraticPolynomialT3(); QuadraticPolynomialT3.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialT3.PredictedRms); Data = QuadraticPolynomialT3.PredictedData;
}
if (radioButton_QPT4.Checked)
{
approach = "QPT4"; QuadraticPolynomialT4 QuadraticPolynomialT4 = new QuadraticPolynomialT4(); QuadraticPolynomialT4.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialT4.PredictedRms); Data = QuadraticPolynomialT4.PredictedData;
}
if (radioButton_QPGM.Checked)
{
approach = "QPGM"; QuadraticPolynomialGM QuadraticPolynomialGM = new QuadraticPolynomialGM(); QuadraticPolynomialGM.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialGM.PredictedRms); Data = QuadraticPolynomialGM.PredictedData;
}
if (radioButton_QPT2GM.Checked)
{
approach = "QPT2GM"; QuadraticPolynomialT2GM QuadraticPolynomialT2GM = new QuadraticPolynomialT2GM(); QuadraticPolynomialT2GM.Calculate(OringalClock, CompareClock, intervalSec, prn); list.Add(QuadraticPolynomialT2GM.PredictedRms); Data = QuadraticPolynomialT2GM.PredictedData;
}
if (radioButton_QPT4GM.Checked)
{
approach = "QPT4GM"; QuadraticPolynomialT4GM QuadraticPolynomialT4GM = new QuadraticPolynomialT4GM(); QuadraticPolynomialT4GM.Calculate(OringalClock, CompareClock, intervalSec); list.Add(QuadraticPolynomialT4GM.PredictedRms); Data = QuadraticPolynomialT4GM.PredictedData;
}
if (radioButton_LP.Checked)
{
approach = "LP"; LinearPolynomialModel LinearPolynomialModel = new LinearPolynomialModel(); LinearPolynomialModel.Calculate(OringalClock, CompareClock, intervalSec); list.Add(LinearPolynomialModel.PredictedRms); Data = LinearPolynomialModel.PredictedData;
}
if (radioButton_DLP.Checked)
{
approach = "DLP"; DLinearPolynomialModel DLinearPolynomialModel = new DLinearPolynomialModel(); DLinearPolynomialModel.Calculate(OringalClock, CompareClock, intervalSec); list.Add(DLinearPolynomialModel.PredictedRms); Data = DLinearPolynomialModel.PredictedData;
}
if (radioButton_RobustDLP.Checked)
{
approach = "RobustDLP";
RobustDLinearPolynomial RobustDLinearPolynomial = new RobustDLinearPolynomial();
RobustDLinearPolynomial.Calculate(OringalClock, CompareClock, intervalSec);
list.Add(RobustDLinearPolynomial.PredictedRms);
Data = RobustDLinearPolynomial.PredictedData;
SSE a = new SSE();
a = GetSSE(RobustDLinearPolynomial);
ListOfSSE.Add(prn.ToString() + '-' + number, a);
}
if (radioButton_RobustLP.Checked)
{
approach = "RobustLP"; RobustLinearPolynomial RobustLinearPolynomial = new RobustLinearPolynomial(); RobustLinearPolynomial.Calculate(OringalClock, CompareClock, intervalSec); list.Add(RobustLinearPolynomial.PredictedRms); Data = RobustLinearPolynomial.PredictedData;
}
if (radioButton_GM.Checked)
{
approach = "GM";
ArrayMatrix GMOringalClock1 = new ArrayMatrix(ModelLength, 1);
for (int GMIndex = 0; GMIndex < ModelLength; GMIndex++)
{
GMOringalClock1[GMIndex, 0] = OringalClock[ModelLength - (ModelLength - GMIndex), 0];
}
GreyModel GreyModel1 = new GreyModel();
SSE a = new SSE();
GreyModel1.Calculate(GMOringalClock1, CompareClock, intervalSec);
a = GetSSE(GreyModel1);
ListOfSSE.Add(prn.ToString() + '-' + number, a);
Data = GreyModel1.PredictedData;
}
if (radioButton_KFAllan.Checked)
{
approach = "KFAllan"; KalmanAllan KalmanAllan = new KalmanAllan(); KalmanAllan.Calculate(OringalClock, CompareClock, intervalSec); list.Add(KalmanAllan.PredictedRms); Data = KalmanAllan.PredictedData;
}
if (radioButton_KFHardamard.Checked)
{
approach = "KFHardamard"; KalmanHardamard KalmanHardamard = new KalmanHardamard(); KalmanHardamard.Calculate(OringalClock, CompareClock, intervalSec); list.Add(KalmanHardamard.PredictedRms); Data = KalmanHardamard.PredictedData;
}
if (radioButton_KFReHardamard.Checked)
{
approach = "KFReHardamard"; KalmanRecursionHardamard KalmanRecursionHardamard = new KalmanRecursionHardamard(); KalmanRecursionHardamard.Calculate(OringalClock, CompareClock, intervalSec); list.Add(KalmanRecursionHardamard.PredictedRms); Data = KalmanRecursionHardamard.PredictedData;
}
if (radioButton_KFReAllan.Checked)
{
approach = "KFReAllan"; KalmanRecursionAllan KalmanRecursionAllan = new KalmanRecursionAllan(); KalmanRecursionAllan.Calculate(OringalClock, CompareClock, intervalSec); list.Add(KalmanRecursionAllan.PredictedRms); Data = KalmanRecursionAllan.PredictedData;
}
for (int i0 = 0; i0 < Data.RowCount; i0++)
{
AtomicClock sat = new AtomicClock();
sat.Prn = prn;
sat.Time = StartOfPredicted + i0 * intervalSec;
sat.ClockBias = Data[i0, 0];
sat.ClockType = ClockType.Satellite;
if (!(clkofPredicted.Contains(sat.Prn.ToString())))
{
clkofPredicted.Add(sat.Prn.ToString(), new List <AtomicClock>());
}
clkofPredicted[sat.Prn.ToString()].Add(sat);
}
clkofPredicted.Header.PrnList.Add(prn);
}
OutputOfPredictedClock(directory, approach, intervalSec);
}
#endregion
OutputOfSSE(directory, ListOfSSE, approach);
Geo.Utils.FileUtil.OpenDirectory(directory);
}
