KJ135
/
RasterProcessTool
mirror of http://172.16.0.12:5000/LAMPSARToolSoftware/RasterProcessTool.git
4
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

更新参数

pull/3/head
陈增辉 2025-01-15 21:50:46 +08:00
parent bb14fd12dd
commit dfe057c13c
6 changed files with 127 additions and 117 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
BaseToolbox/SateOrbit.cpp
View File

@ -12,7 +12,6 @@ using namespace std;
using namespace Eigen;
OrbitPoly::OrbitPoly()
{
}
@ -20,7 +19,7 @@ OrbitPoly::OrbitPoly()
OrbitPoly::OrbitPoly(int polynum, Eigen::MatrixX<double> polySatellitePara, double SatelliteModelStartTime)
{
if (polySatellitePara.rows() != polynum||polySatellitePara.cols()!=6) {
throw exception("?????????????????");
throw exception("Orbit Model Params Fail !!!");
}
this->polySatellitePara = polySatellitePara;
this->SatelliteModelStartTime = SatelliteModelStartTime;

15
GPUTool/GPURFPC.cu
View File

@ -557,7 +557,7 @@ extern "C" void CUDA_RFPC_MainBlock(
double* antYaxisX, double* antYaxisY, double* antYaxisZ,// 天线坐标系的Y轴
double* antZaxisX, double* antZaxisY, double* antZaxisZ,// 天线坐标系的Z轴
double* antDirectX, double* antDirectY, double* antDirectZ,// 天线的指向
long PRFCount, // Âö³åÊý
long startpid,long PRFCount, // Âö³åÊý
float f0, float dfreq, long freqnum, // 频率数
double* targetX, double* targetY, double* targetZ, long TargetPixelNumber, // 地面坐标
long* demCls, // 地表类别
@ -578,17 +578,15 @@ extern "C" void CUDA_RFPC_MainBlock(
int numBlocks = 0;
for(long pid=0;pid<PRFCount;pid++){
numBlocks = (TargetPixelNumber + BLOCK_SIZE - 1) / BLOCK_SIZE; // 根据 pixelcount 计算网格大小
CUDAKernel_RFPC_Computer_R_Gain<<<numBlocks , BLOCK_SIZE >>>(
antX[pid], antY[pid], antZ[pid],
antX[startpid+pid], antY[startpid+pid], antZ[startpid+pid],
targetX, targetY, targetZ, TargetPixelNumber,
demCls,
demSlopeX, demSlopeY, demSlopeZ,
antXaxisX[pid], antXaxisY[pid], antXaxisZ[pid],
antYaxisX[pid], antYaxisY[pid], antYaxisZ[pid],
antZaxisX[pid], antZaxisY[pid], antZaxisZ[pid],
antDirectX[pid], antDirectY[pid], antDirectZ[pid],
antXaxisX[startpid+pid], antXaxisY[startpid+pid], antXaxisZ[startpid+pid],
antYaxisX[startpid+pid], antYaxisY[startpid+pid], antYaxisZ[startpid+pid],
antZaxisX[startpid+pid], antZaxisY[startpid+pid], antZaxisZ[startpid+pid],
antDirectX[startpid + pid], antDirectY[startpid + pid], antDirectZ[startpid + pid],
Pt,// 增益后发射能量
refPhaseRange,
TransAntpattern,
@ -611,7 +609,6 @@ extern "C" void CUDA_RFPC_MainBlock(
(temp_R, temp_amp, pixelcount,
f0,dfreq,freqnum,
out_echoReal, out_echoImag, pid);
}
cudaDeviceSynchronize();

2
GPUTool/GPURFPC.cuh
View File

@ -106,7 +106,7 @@ extern "C" void CUDA_RFPC_MainBlock(
double* antYaxisX, double* antYaxisY, double* antYaxisZ,// 天线坐标系的Y轴
double* antZaxisX, double* antZaxisY, double* antZaxisZ,// 天线坐标系的Z轴
double* antDirectX, double* antDirectY, double* antDirectZ,// 天线的指向
long PRFCount, // 脉冲数
long startpid, long PRFCount, // 脉冲数
float f0, float dfreq, long freqnum,// 频率数
double* targetX, double* targetY, double* targetZ, long TargetPixelNumber, // 地面坐标
long* demCls, // 地表类别

6
SimulationSAR/QImageSARRFPC.cpp
View File

@ -166,7 +166,7 @@ void QImageSARRFPC::onBtnaccept()
QString TaskXmlPath = ui.taskXmlPathEdit->text().trimmed();//u8"D:/Programme/vs2022/RasterMergeTest/TestData/GF3_Simulation_Setting.xml";
QString demTiffPath = ui.demTiffPathEdit->text().trimmed();//u8"D:/Programme/vs2022/RasterMergeTest/TestData/115E39N_COP30_clip.tif";
QString landConverPath = ui.landCoverPathEdit->text().trimmed();// u8"D:/Programme/vs2022/RasterMergeTest/TestData/landcover_aligned.tiff";
QString demsloperPath = ui.sloperPathEdit->text().trimmed();
QString OutEchoPath = ui.outEchoPathEdit->text().trimmed();// u8"D:/Programme/vs2022/RasterMergeTest/TestData/outData/";
QString simulationtaskName = ui.simulationTaskNameEdit->text().trimmed();// u8"GF3_Simulation";
// ÌìÏß·½Ïòͼ
@ -187,7 +187,9 @@ void QImageSARRFPC::onBtnaccept()
long cpucore_num = std::thread::hardware_concurrency();
RFPCProcessMain(cpucore_num, TransAntPatternFilePath, ReceiveAntPatternFilePath, simulationtaskName, OutEchoPath, GPSXmlPath, TaskXmlPath, demTiffPath, landConverPath);
RFPCProcessMain(cpucore_num,
TransAntPatternFilePath, ReceiveAntPatternFilePath, simulationtaskName,
OutEchoPath, GPSXmlPath, TaskXmlPath, demTiffPath, demsloperPath, landConverPath);
}

9
SimulationSAR/QImageSARRFPC.ui
View File

@ -7,7 +7,7 @@
<x>0</x>
<y>0</y>
<width>873</width>
<height>534</height>
<height>686</height>
</rect>
</property>
<property name="windowTitle">
@ -25,7 +25,7 @@
<x>0</x>
<y>0</y>
<width>853</width>
<height>485</height>
<height>634</height>
</rect>
</property>
<layout class="QGridLayout" name="gridLayout">
@ -233,7 +233,7 @@
</size>
</property>
<property name="text">
<string>D:/Programme/vs2022/RasterMergeTest/simulationData/115E39N_COP30_clip.tif</string>
<string>D:/Programme/vs2022/RasterMergeTest/simulationData/demdataset/demxyz.bin</string>
</property>
</widget>
</item>
@ -349,6 +349,9 @@
<height>30</height>
</size>
</property>
<property name="text">
<string>D:/Programme/vs2022/RasterMergeTest/simulationData/demdataset/demsloper.bin</string>
</property>
</widget>
</item>
<item row="8" column="2">

209
SimulationSAR/RFPCProcessCls.cpp
View File

@ -255,7 +255,10 @@ std::shared_ptr<SatelliteOribtNode[]> RFPCProcessCls::getSatelliteOribtNodes(dou
}
void RFPCProcessMain(long num_thread, QString TansformPatternFilePath, QString ReceivePatternFilePath, QString simulationtaskName, QString OutEchoPath, QString GPSXmlPath, QString TaskXmlPath,QString demTiffPath, QString sloperPath, QString LandCoverPath)
void RFPCProcessMain(long num_thread,
QString TansformPatternFilePath, QString ReceivePatternFilePath,
QString simulationtaskName, QString OutEchoPath,
QString GPSXmlPath, QString TaskXmlPath,QString demTiffPath, QString sloperPath, QString LandCoverPath)
{
std::shared_ptr < AbstractSARSatelliteModel> task = ReadSimulationSettingsXML(TaskXmlPath);
@ -371,12 +374,63 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
long PlusePoint = this->EchoSimulationData->getPlusePoints();
POLARTYPEENUM polartype = this->TaskSetting->getPolarType();
gdalImage echoMaskImg(this->OutEchoMaskPath);
long echoblockline = Memory1GB / 8 / 2 / PlusePoint * 2;
#ifndef __CUDANVCC___
QMessageBox::information(this, u8"程序提示", u8"请确定安装了CUDA库");
#else
double* antpx,*antpy,*antpz,
*antvx,*antvy,*antvz,
*antdirectx,*antdirecty,*antdirectz
,*antXaxisX,*antXaxisY,*antXaxisZ,
*antYaxisX,*antYaxisY,*antYaxisZ,
*antZaxisX,*antZaxisY,*antZaxisZ;
{
antpx = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antpy = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antpz = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antvx = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antvy = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antvz = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antdirectx = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antdirecty = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antdirectz = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antXaxisX = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antXaxisY = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antXaxisZ = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antYaxisX = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antYaxisY = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antYaxisZ = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antZaxisX = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antZaxisY = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
antZaxisZ = (double*)mallocCUDAHost(sizeof(double) * pluseCount);
for (long tempprfid = 0; tempprfid < pluseCount; tempprfid++) {
long prfid = tempprfid;
antpx[tempprfid] = sateOirbtNodes[prfid].Px;
antpy[tempprfid] = sateOirbtNodes[prfid].Py;
antpz[tempprfid] = sateOirbtNodes[prfid].Pz;
antvx[tempprfid] = sateOirbtNodes[prfid].Vx;
antvy[tempprfid] = sateOirbtNodes[prfid].Vy;
antvz[tempprfid] = sateOirbtNodes[prfid].Vz; //6
antdirectx[tempprfid] = sateOirbtNodes[prfid].AntDirecX;
antdirecty[tempprfid] = sateOirbtNodes[prfid].AntDirecY;
antdirectz[tempprfid] = sateOirbtNodes[prfid].AntDirecZ; // 9 天线指向
antXaxisX[tempprfid] = sateOirbtNodes[prfid].AntXaxisX;
antXaxisY[tempprfid] = sateOirbtNodes[prfid].AntXaxisY;
antXaxisZ[tempprfid] = sateOirbtNodes[prfid].AntXaxisZ;//12 天线坐标系
antYaxisX[tempprfid] = sateOirbtNodes[prfid].AntYaxisX;
antYaxisY[tempprfid] = sateOirbtNodes[prfid].AntYaxisY;
antYaxisZ[tempprfid] = sateOirbtNodes[prfid].AntYaxisZ;//15
antZaxisX[tempprfid] = sateOirbtNodes[prfid].AntZaxisX;
antZaxisY[tempprfid] = sateOirbtNodes[prfid].AntZaxisY;
antZaxisZ[tempprfid] = sateOirbtNodes[prfid].AntZaxisZ;//18
}
}
// RFPC CUDA版本
if (pluseCount * 4 * 18 > Memory1MB * 100) {
long max = Memory1MB * 100 / 4 / 20 / PluseCount;
@ -389,7 +443,6 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
// 参数与分块计算
long demRow = demxyz.height;
long demCol = demxyz.width;
long blokline = 100;
// 每块 250MB*16 = 4GB
@ -441,9 +494,11 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
TantPatternDesc.phinum = Tphinum;
TantPatternDesc.thetanum = Tthetanum;
}
PatternImageDesc RantPatternDesc = {};
double* h_RantPattern = nullptr;
double* d_RantPattern = nullptr;
{
// 处理接收天线方向图
double Rminphi = ReceivePattern->getMinPhi();
@ -488,30 +543,31 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
QMap<long, long> clamap;
long clamapid = 0;
long startline = 0;
for (startline = 0; startline < demRow; startline = startline + blokline) {
Eigen::MatrixXd clsland = demlandcls.getData(startline, 0, blokline, demlandcls.width, 1);
long clsrows = clsland.rows();
long clscols = clsland.cols();
long clsid = 0;
for (long ii = 0; ii < clsrows; ii++) {
for (long jj = 0; jj < clscols; jj++) {
clsid = clsland(ii, jj);
if (clamap.contains(clsid)) {}
else {
clamap.insert(clsid, clamapid);
clamapid = clamapid + 1;
{
for (startline = 0; startline < demRow; startline = startline + blokline) {
Eigen::MatrixXd clsland = demlandcls.getData(startline, 0, blokline, demlandcls.width, 1);
long clsrows = clsland.rows();
long clscols = clsland.cols();
long clsid = 0;
for (long ii = 0; ii < clsrows; ii++) {
for (long jj = 0; jj < clscols; jj++) {
clsid = clsland(ii, jj);
if (clamap.contains(clsid)) {}
else {
clamap.insert(clsid, clamapid);
clamapid = clamapid + 1;
}
}
}
}
}
std::cout << "class id recoding" << std::endl;
for (long id : clamap.keys()) {
std::cout << id << " -> " << clamap[id] << std::endl;
std::cout << "class id recoding" << std::endl;
for (long id : clamap.keys()) {
std::cout << id << " -> " << clamap[id] << std::endl;
}
}
CUDASigmaParam* h_clsSigmaParam = (CUDASigmaParam*)mallocCUDAHost(sizeof(CUDASigmaParam) * clamapid);
CUDASigmaParam* d_clsSigmaParam = (CUDASigmaParam*)mallocCUDADevice(sizeof(CUDASigmaParam) * clamapid);
@ -543,7 +599,6 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
HostToDevice(h_clsSigmaParam, d_clsSigmaParam, sizeof(CUDASigmaParam) * clamapid);
long blockwidth = demxyz.width;
#ifdef __PRFDEBUG__
blokline = 1;
@ -579,14 +634,8 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
float* d_R = (float*)mallocCUDADevice(sizeof(float) * blokline * tempDemCols);
float* h_amp = (float*)mallocCUDAHost(sizeof(float) * blokline * tempDemCols);
float* d_amp = (float*)mallocCUDADevice(sizeof(float) * blokline * tempDemCols);
//double* h_phi = (double*)mallocCUDAHost(sizeof(double) * blokline * tempDemCols);
//double* d_phi = (double*)mallocCUDADevice(sizeof(double) * blokline * tempDemCols);
//double* h_real = (double*)mallocCUDAHost(sizeof(double) * blokline * tempDemCols);
//double* d_real = (double*)mallocCUDADevice(sizeof(double) * blokline * tempDemCols);
//double* h_imag = (double*)mallocCUDAHost(sizeof(double) * blokline * tempDemCols);
//double* d_imag = (double*)mallocCUDADevice(sizeof(double) * blokline * tempDemCols);
long echoblockline = Memory1GB / 8 / 2 / PlusePoint * 2;
double* h_PRFEcho_real = (double*)mallocCUDAHost(sizeof(double) * echoblockline * PlusePoint);
double* h_PRFEcho_imag = (double*)mallocCUDAHost(sizeof(double) * echoblockline * PlusePoint);
double* d_PRFEcho_real = (double*)mallocCUDADevice(sizeof(double) * echoblockline * PlusePoint);
@ -671,13 +720,6 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
d_R = (float*)mallocCUDADevice(sizeof(float) * newblokline * tempDemCols);
h_amp = (float*)mallocCUDAHost(sizeof(float) * newblokline * tempDemCols);
d_amp = (float*)mallocCUDADevice(sizeof(float) * newblokline * tempDemCols);
//h_phi = (double*)mallocCUDAHost(sizeof(double) * newblokline * tempDemCols);
//d_phi = (double*)mallocCUDADevice(sizeof(double) * newblokline * tempDemCols);
//h_real = (double*)mallocCUDAHost(sizeof(double) * newblokline * tempDemCols);
//d_real = (double*)mallocCUDADevice(sizeof(double) * newblokline * tempDemCols);
//h_imag = (double*)mallocCUDAHost(sizeof(double) * newblokline * tempDemCols);
//d_imag = (double*)mallocCUDADevice(sizeof(double) * newblokline * tempDemCols);
}
//# pragma omp parallel for
@ -737,54 +779,13 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
HostToDevice(h_PRFEcho_real, d_PRFEcho_real, sizeof(double) * echoblockline * PlusePoint);
HostToDevice(h_PRFEcho_imag, d_PRFEcho_imag, sizeof(double) * echoblockline * PlusePoint);
double* antpx = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antpy = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antpz = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antvx = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antvy = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antvz = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antdirectx = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antdirecty = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antdirectz = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antXaxisX = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antXaxisY = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antXaxisZ = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antYaxisX = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antYaxisY = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antYaxisZ = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antZaxisX = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antZaxisY = (double*)mallocCUDAHost(sizeof(double) * templine);
double* antZaxisZ = (double*)mallocCUDAHost(sizeof(double) * templine);
for (long tempprfid = 0; tempprfid < templine; tempprfid++) {
long prfid = tempprfid + startprfid;
antpx[tempprfid] = sateOirbtNodes[prfid].Px;
antpy[tempprfid] = sateOirbtNodes[prfid].Py;
antpz[tempprfid] = sateOirbtNodes[prfid].Pz;
antvx[tempprfid] = sateOirbtNodes[prfid].Vx;
antvy[tempprfid] = sateOirbtNodes[prfid].Vy;
antvz[tempprfid] = sateOirbtNodes[prfid].Vz; //6
antdirectx[tempprfid] = sateOirbtNodes[prfid].AntDirecX;
antdirecty[tempprfid] = sateOirbtNodes[prfid].AntDirecY;
antdirectz[tempprfid] = sateOirbtNodes[prfid].AntDirecZ; // 9 天线指向
antXaxisX[tempprfid] = sateOirbtNodes[prfid].AntXaxisX;
antXaxisY[tempprfid] = sateOirbtNodes[prfid].AntXaxisY;
antXaxisZ[tempprfid] = sateOirbtNodes[prfid].AntXaxisZ;//12 天线坐标系
antYaxisX[tempprfid] = sateOirbtNodes[prfid].AntYaxisX;
antYaxisY[tempprfid] = sateOirbtNodes[prfid].AntYaxisY;
antYaxisZ[tempprfid] = sateOirbtNodes[prfid].AntYaxisZ;//15
antZaxisX[tempprfid] = sateOirbtNodes[prfid].AntZaxisX;
antZaxisY[tempprfid] = sateOirbtNodes[prfid].AntZaxisY;
antZaxisZ[tempprfid] = sateOirbtNodes[prfid].AntZaxisZ;//18
}
CUDA_RFPC_MainBlock(
antpx, antpy, antpz, // 天线的坐标
antXaxisX, antXaxisY, antXaxisZ, // 天线坐标系的X轴
antYaxisX, antYaxisY, antYaxisZ,// 天线坐标系的Y轴
antZaxisX, antZaxisY, antZaxisZ,// 天线坐标系的Z轴
antdirectx, antdirecty, antdirectz,// 天线的指向
templine, // 脉冲数
startprfid,templine, // 脉冲数
//h_freqlist, h_factorj, PlusePoint,// 频率数
f0, dfreq, PlusePoint,// 频率数
d_dem_x, d_dem_y, d_dem_z, pixelcount, // 地面坐标
@ -792,8 +793,8 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
d_demsloper_x, d_demsloper_y, d_demsloper_z, // 地表坡度矢量
Pt,// 增益后发射能量
refphaseRange,
d_TantPattern, TstartTheta, TstartPhi, Tdtheta, Tdphi, Tthetanum, Tphinum, // 发射天线方向图
d_RantPattern, RstartTheta, RstartPhi, Rdtheta, Rdphi, Rthetanum, Rphinum,//接收天线方向图
d_TantPattern, TantPatternDesc,// TstartTheta, TstartPhi, Tdtheta, Tdphi, Tthetanum, Tphinum, // 发射天线方向图
d_RantPattern, RantPatternDesc,// RstartTheta, RstartPhi, Rdtheta, Rdphi, Rthetanum, Rphinum,//接收天线方向图
NearRange, FarRange,
d_clsSigmaParam, clamapid,
d_PRFEcho_real, d_PRFEcho_imag,// 输出回波
@ -801,26 +802,6 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
//, d_phi, d_real, d_imag// 临时变量
);
FreeCUDAHost(antpx); // 回收局部数据
FreeCUDAHost(antpy);
FreeCUDAHost(antpz);
FreeCUDAHost(antvx);
FreeCUDAHost(antvy);
FreeCUDAHost(antvz);
FreeCUDAHost(antdirectx);
FreeCUDAHost(antdirecty);
FreeCUDAHost(antdirectz);
FreeCUDAHost(antXaxisX);
FreeCUDAHost(antXaxisY);
FreeCUDAHost(antXaxisZ);
FreeCUDAHost(antYaxisX);
FreeCUDAHost(antYaxisY);
FreeCUDAHost(antYaxisZ);
FreeCUDAHost(antZaxisX);
FreeCUDAHost(antZaxisY);
FreeCUDAHost(antZaxisZ);
DeviceToHost(h_PRFEcho_real, d_PRFEcho_real, sizeof(double) * echoblockline * PlusePoint);
DeviceToHost(h_PRFEcho_imag, d_PRFEcho_imag, sizeof(double) * echoblockline * PlusePoint);
for (long tempprfid = 0; tempprfid < templine; tempprfid++) {
@ -840,6 +821,12 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
#endif // __PRFDEBUG__
}
std::cout << std::endl;
// 地面数据释放
@ -863,6 +850,28 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU()
//FreeCUDAHost(h_real); FreeCUDADevice(d_real);
//FreeCUDAHost(h_imag); FreeCUDADevice(d_imag);
FreeCUDAHost(antpx); // 回收局部数据
FreeCUDAHost(antpy);
FreeCUDAHost(antpz);
FreeCUDAHost(antvx);
FreeCUDAHost(antvy);
FreeCUDAHost(antvz);
FreeCUDAHost(antdirectx);
FreeCUDAHost(antdirecty);
FreeCUDAHost(antdirectz);
FreeCUDAHost(antXaxisX);
FreeCUDAHost(antXaxisY);
FreeCUDAHost(antXaxisZ);
FreeCUDAHost(antYaxisX);
FreeCUDAHost(antYaxisY);
FreeCUDAHost(antYaxisZ);
FreeCUDAHost(antZaxisX);
FreeCUDAHost(antZaxisY);
FreeCUDAHost(antZaxisZ);
#endif
this->EchoSimulationData->saveToXml();