增加了模拟天线方向图衰减

Toolbox/SimulationSARTool/SimulationSAR/GPURFPC.cu

@@ -466,8 +466,15 @@ void CUDA_RFPC_MainProcess(
 
 
 
+
 /* 核函数 ****************************************************************************************************************************/
 
+__device__ double SincTarg(double x) {
+	return 1 - (pow(x, 2) / 6) + (pow(x, 4) / 120) - (pow(x, 6) / 5040);
+}
+
+
+
 __global__ void Kernel_Computer_R_amp_NoAntPattern(
 	SateState* antlist,
 	long PRFCount,
@@ -478,6 +485,7 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
 	double Pt,
 	double refPhaseRange,
 	double NearR, double FarR,
+	double maxGain,double GainWeight,
 	double* d_temp_R, double* d_temp_amps// 计算输出
 ) {
 	long long idx = blockIdx.x * blockDim.x + threadIdx.x; // 获取当前的线程编码
@@ -489,18 +497,14 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
 	//}
 
 	if (prfId < PRFCount && posId < pixelcount) {
-		double RstX = antlist[prfId].Px - goallist[posId].Tx; // ¼ÆËã×ø±êʸÁ¿
-		double RstY = antlist[prfId].Py - goallist[posId].Ty;
-		double RstZ = antlist[prfId].Pz - goallist[posId].Tz;
-
+		SateState antp = antlist[prfId];
+		GoalState gp = goallist[posId];
+		double RstX = antp.Px - gp.Tx; // 柴麻恫炎文楚 T->S
+		double RstY = antp.Py - gp.Ty;
+		double RstZ = antp.Pz - gp.Tz;
 		double RstR = sqrt(RstX * RstX + RstY * RstY + RstZ * RstZ); // 矢量距离
 
-		//if (prfId > 20000) {
-		//	printf("prfid %d,nearR R Rfar %e  %e  %e ant=[%e,%e,%e] dem_G=[%e,%e,%e]\n", prfId,NearR,RstR,FarR,
-		//		antlist[prfId].Px ,				antlist[prfId].Py ,				antlist[prfId].Pz ,
-		//		goallist[posId].Tx,				goallist[posId].Ty,				goallist[posId].Tz
-		//	);
-		//}
+
 
 		if (RstR<NearR || RstR>FarR) {
 			d_temp_R[idx] = 0;
@@ -508,9 +512,9 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
 			return;
 		}
 		else {
-			double slopeX = goallist[posId].TsX;
-			double slopeY = goallist[posId].TsY;
-			double slopeZ = goallist[posId].TsZ;
+			double slopeX = gp.TsX;
+			double slopeY = gp.TsY;
+			double slopeZ = gp.TsZ;
 
 			double slopR = sqrtf(slopeX * slopeX + slopeY * slopeY + slopeZ * slopeZ); //  
 			if (abs(slopR - 0) > 1e-3) {
@@ -524,7 +528,20 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
 				}
 				else {}
 
-				double	ampGain = 1;
+
+				// 柴麻弍鉦縫受
+
+				double antDirectR = sqrt(antp.antDirectX * antp.antDirectX
+					+ antp.antDirectY * antp.antDirectY
+					+ antp.antDirectZ * antp.antDirectZ);
+
+				double diectAngle = -1*(RstX*antp.antDirectX+
+					RstY*antp.antDirectY+
+					RstZ*antp.antDirectZ) / (antDirectR* RstR);
+
+				diectAngle = acos(diectAngle);// 察業崙
+
+				double	ampGain = 2*maxGain*SincTarg(GainWeight*diectAngle);
 				ampGain = ampGain / (powf(4 * LAMP_CUDA_PI, 2) * powf(RstR, 4)); // 反射强度
 				double sigma = GPU_getSigma0dB(sigma0Params, localangle);
 				sigma = powf(10.0, sigma / 10.0);
@@ -549,6 +566,11 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
 
 
 
+
+
+
+
+
 __global__ void CUDA_Kernel_Computer_echo_NoAntPattern(
 	double* d_temp_R, double* d_temp_amps, long posNum,
 	double f0, double dfreq,
@@ -586,9 +608,6 @@ __global__ void CUDA_Kernel_Computer_echo_NoAntPattern(
 
 	if (fId < maxfreqnum && prfId < temp_PRF_Count) {
 
-
-
-
 		long echo_ID = prfId * maxfreqnum + fId; // 计算对应的回波位置
 		float factorjTemp = RFPCPIDIVLIGHT * (f0 + fId * dfreq);
 		cuComplex echo = make_cuComplex(0, 0);
@@ -735,6 +754,7 @@ extern "C" void ProcessRFPCTask(RFPCTask& task, long devid)
 			task.Pt,
 			task.Rref,
 			task.Rnear, task.Rfar,
+			task.maxGain,task.GainWeight,
 			d_R, d_amps// 计算输出
 		);
 		PrintLasterError("CUDA_Kernel_Computer_R_amp");

Toolbox/SimulationSARTool/SimulationSAR/GPURFPC.cuh

@@ -17,6 +17,10 @@
 
 extern "C" struct SateState {
 	double Px, Py, Pz, Vx, Vy, Vz;
+	//double	antXaxisX, antXaxisY, antXaxisZ;
+	//double	antYaxisX, antYaxisY, antYaxisZ;
+	//double	antZaxisX, antZaxisY, antZaxisZ;
+	double	antDirectX, antDirectY, antDirectZ;
 };
 
 
@@ -86,7 +90,8 @@ extern "C" struct RFPCTask
 	GoalState* goallist = nullptr;
 	cuComplex* d_echoData = nullptr; // ťŘ˛¨
 	CUDASigmaParam sigma0_cls;
-
+	double maxGain=48;
+	double GainWeight=300;
 
 	size_t targetnum;
 

Toolbox/SimulationSARTool/SimulationSAR/RFPCProcessCls.cpp

@@ -929,8 +929,8 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU() {
 
 ErrorCode RFPCProcessCls::RFPCMainProcess_MultiGPU_NoAntPattern()
 {
-	int num_devices=1;
-	//cudaGetDeviceCount(&num_devices);
+	int num_devices=0;
+	cudaGetDeviceCount(&num_devices);
 	PRINT("GPU Count : %d \n", num_devices);
 
 	long prfcount = this->EchoSimulationData->getPluseCount();
@@ -1089,6 +1089,23 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU_NoAntPattern(size_t startprfid, si
 			h_antlist.get()[i].Vx = antplise.get()[i + startprfid].Vx;
 			h_antlist.get()[i].Vy = antplise.get()[i + startprfid].Vy;
 			h_antlist.get()[i].Vz = antplise.get()[i + startprfid].Vz;
+			h_antlist.get()[i].antDirectX = antplise.get()[i + startprfid].AntDirectX;
+			h_antlist.get()[i].antDirectY = antplise.get()[i + startprfid].AntDirectY;
+			h_antlist.get()[i].antDirectZ = antplise.get()[i + startprfid].AntDirectZ;
+			h_antlist.get()[i].antXaxisX = antplise.get()[i + startprfid].x;
+			h_antlist.get()[i].Vz = antplise.get()[i + startprfid].Vz;
+			h_antlist.get()[i].Vz = antplise.get()[i + startprfid].Vz;
+			h_antlist.get()[i].Vz = antplise.get()[i + startprfid].Vz;
+			h_antlist.get()[i].Vz = antplise.get()[i + startprfid].Vz;
+			h_antlist.get()[i].Vz = antplise.get()[i + startprfid].Vz;
+			h_antlist.get()[i].Vz = antplise.get()[i + startprfid].Vz;
+			h_antlist.get()[i].Vz = antplise.get()[i + startprfid].Vz;
+
+
+
+
+
+
 		}
 
 		task.antlist = (SateState*)mallocCUDADevice(prfcount * sizeof(SateState), devId);