幅度更换为float
parent
2309c750e7
commit
7f4a8de726
|
|
@ -14,9 +14,13 @@
|
|||
/* 机器函数 ****************************************************************************************************************************/
|
||||
|
||||
|
||||
extern __device__ double GPU_getSigma0dB(CUDASigmaParam param, double theta) {//ÏßÐÔÖµ
|
||||
double sigma = param.p1 + param.p2 * exp(-param.p3 * theta) + param.p4 * cos(param.p5 * theta + param.p6);
|
||||
return sigma;
|
||||
__device__ double GPU_getSigma0dB(CUDASigmaParam param, double theta)
|
||||
{
|
||||
return param.p1 + param.p2 * exp(-param.p3 * theta) + param.p4 * cos(param.p5 * theta + param.p6);
|
||||
}
|
||||
|
||||
extern __device__ float GPU_getSigma0dB(CUDASigmaParam param, float theta) {//ÏßÐÔÖµ
|
||||
return param.p1 + param.p2 * expf(-param.p3 * theta) + param.p4 * cosf(param.p5 * theta + param.p6);;
|
||||
}
|
||||
|
||||
|
||||
|
|
@ -510,14 +514,19 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
|
|||
return;
|
||||
}
|
||||
else {
|
||||
|
||||
RstX = RstX / RstR;
|
||||
RstY = RstY / RstR;
|
||||
RstZ = RstZ / RstR;
|
||||
|
||||
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) {
|
||||
double dotAB = RstX * slopeX + RstY * slopeY + RstZ * slopeZ;
|
||||
double localangle = acos(dotAB / (RstR * slopR));
|
||||
float dotAB = RstX * slopeX + RstY * slopeY + RstZ * slopeZ;
|
||||
float localangle = acosf(dotAB / ( slopR));
|
||||
|
||||
if (localangle < 0 || localangle >= LAMP_CUDA_PI / 2 || isnan(localangle)) {
|
||||
d_temp_R[idx] = 0;
|
||||
|
|
@ -529,19 +538,24 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
|
|||
|
||||
// 计算斜距衰减
|
||||
|
||||
double antDirectR = sqrt(antp.antDirectX * antp.antDirectX
|
||||
float antDirectR = sqrtf(antp.antDirectX * antp.antDirectX
|
||||
+ antp.antDirectY * antp.antDirectY
|
||||
+ antp.antDirectZ * antp.antDirectZ);
|
||||
|
||||
double diectAngle = -1*(RstX*antp.antDirectX+
|
||||
float diectAngle = -1*(RstX*antp.antDirectX+
|
||||
RstY*antp.antDirectY+
|
||||
RstZ*antp.antDirectZ) / (antDirectR* RstR);
|
||||
RstZ*antp.antDirectZ) / (antDirectR );
|
||||
|
||||
diectAngle = acosf(diectAngle);// 弧度制
|
||||
//if (diectAngle * r2d <3) {
|
||||
// printf("idx: %d, antAngle : %e \n", prfId, diectAngle * r2d);
|
||||
//}
|
||||
|
||||
diectAngle = diectAngle * GainWeight;
|
||||
double ampGain = 2 * maxGain * (1 - (diectAngle * diectAngle / 6)
|
||||
float ampGain = 2 * maxGain * (1 - (diectAngle * diectAngle / 6)
|
||||
+ (diectAngle * diectAngle * diectAngle * diectAngle / 120)
|
||||
- (diectAngle * diectAngle * diectAngle * diectAngle * diectAngle * diectAngle / 5040));
|
||||
- (diectAngle * diectAngle * diectAngle * diectAngle * diectAngle * diectAngle / 5040)); //dB
|
||||
ampGain = powf(10.0, ampGain / 10.0);
|
||||
|
||||
ampGain = ampGain / (powf(4 * LAMP_CUDA_PI, 2) * powf(RstR, 4)); // 反射强度
|
||||
double sigma = GPU_getSigma0dB(sigma0Params, localangle);
|
||||
|
|
@ -552,12 +566,9 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
|
|||
|
||||
bool isNan = !(isnan(temp_amp) || isnan(temp_R) || isinf(temp_amp) || isinf(temp_R));
|
||||
|
||||
|
||||
d_temp_amps[idx] = temp_amp * isNan;
|
||||
d_temp_R[idx] = temp_R * isNan;
|
||||
|
||||
|
||||
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -33,12 +33,12 @@ extern "C" struct GoalState {
|
|||
|
||||
|
||||
extern "C" struct CUDASigmaParam {
|
||||
double p1;
|
||||
double p2;
|
||||
double p3;
|
||||
double p4;
|
||||
double p5;
|
||||
double p6;
|
||||
float p1;
|
||||
float p2;
|
||||
float p3;
|
||||
float p4;
|
||||
float p5;
|
||||
float p6;
|
||||
};
|
||||
|
||||
extern "C" struct SloperDs
|
||||
|
|
@ -91,7 +91,7 @@ extern "C" struct RFPCTask
|
|||
cuComplex* d_echoData = nullptr; // »Ø²¨
|
||||
CUDASigmaParam sigma0_cls;
|
||||
double maxGain=48;
|
||||
double GainWeight=300;
|
||||
double GainWeight=20; // 2¶È·¶Î§
|
||||
|
||||
size_t targetnum;
|
||||
|
||||
|
|
@ -103,6 +103,8 @@ extern __device__ double GPU_getSigma0dB_params(
|
|||
double theta);
|
||||
|
||||
extern __device__ double GPU_getSigma0dB(CUDASigmaParam param, double theta);
|
||||
extern __device__ float GPU_getSigma0dB(CUDASigmaParam param, float theta);
|
||||
|
||||
|
||||
extern __device__ CUDAVectorEllipsoidal GPU_SatelliteAntDirectNormal(
|
||||
double RstX, double RstY, double RstZ,
|
||||
|
|
|
|||
|
|
@ -971,20 +971,20 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU_NoAntPattern(size_t startprfid, si
|
|||
for (const auto& pair : clssigmaParamsDict) {
|
||||
clsCUDASigmaParamsDict.insert(std::pair<long, CUDASigmaParam>(pair.first,
|
||||
CUDASigmaParam{
|
||||
pair.second.p1,
|
||||
pair.second.p2,
|
||||
pair.second.p3,
|
||||
pair.second.p4,
|
||||
pair.second.p5,
|
||||
pair.second.p6
|
||||
float(pair.second.p1),
|
||||
float(pair.second.p2),
|
||||
float(pair.second.p3),
|
||||
float(pair.second.p4),
|
||||
float(pair.second.p5),
|
||||
float(pair.second.p6)
|
||||
}));
|
||||
printf("clsid:%d, params: %e,%e,%e,%e,%e,%e \n", pair.first,
|
||||
pair.second.p1,
|
||||
pair.second.p2,
|
||||
pair.second.p3,
|
||||
pair.second.p4,
|
||||
pair.second.p5,
|
||||
pair.second.p6
|
||||
float(pair.second.p1),
|
||||
float(pair.second.p2),
|
||||
float(pair.second.p3),
|
||||
float(pair.second.p4),
|
||||
float(pair.second.p5),
|
||||
float(pair.second.p6)
|
||||
);
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue