GPU (Graphic Processing Unit) many-core platform based parallel imaging method of synthetic aperture radar
A technology of synthetic aperture radar and imaging method, which is applied in the direction of concurrent instruction execution, machine execution device, radio wave reflection/re-radiation, etc., to achieve the effects of improving operating efficiency, increasing parallelism, and reducing computing time
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[0026] The basic idea is to first import the original echo data into the global memory of the GPU, then the CPU initiates a calculation request, and the GPU completes the calculation. According to this mode, the calculation continues until the SAR imaging result is obtained, and then the result data is returned to the memory. , and the result is saved by the CPU. Take the application of the RD algorithm in the SAR system to image a point target with an image size of 4096×4096 as an example. The GPU platform is NVIDIA’s GPU, model Quadro_FX_5600. The implementation mainly includes the following processes:
[0027] Step 1: Calculate the size of the storage space occupied by the echo data, marked as: size;
[0028] Step 2: Allocate a storage space of size in the memory, denoted as Echo_H;
[0029] Step 3: Copy the echo data in complex form from the disk to the memory Echo_H;
[0030] Step 4: Allocate a storage space of size in the global memory of the GPU, denoted as Echo_D;
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