Parallel generation method of pulse compression reference matrix based on GPU (Graphic Processing Unit) core platform

Abstract

The invention discloses a parallel generation method of a pulse compression reference matrix based on a core platform. The parallel generation method comprises the following steps of: realizing the paralleling of the pulse compression reference matrix on a GPU (Graphic Processing Unit) through parallel programming, generating a used temporary independent variable in a shared memory of each threadblock, directly finding the independent variable in the shared memory when in calculation without fetching data in a global memory, fully utilizing a structure of an inside shared memory, ensuring that all elements are successfully generated through a synchronous mechanism of the GPU and then writing a result back to a CPU (Central Processing Unit) internal memory. By adopting the strategy which combining the mass calculation amount and single communication, the invention greatly reduces the communication consumption, improves the parallelism degree of a program, ensures the great improvementof an operating efficiency and significantly reduces the calculation time.

Description

Parallel Generation Method of Pulse Compression Reference Matrix Based on GPU Many-Core Platform technical field The invention relates to a parallel generation method of a pulse compression reference matrix based on a GPU many-core platform and its application in engineering practice. Background technique Synthetic aperture radar is a two-dimensional microwave remote sensing imaging radar. This radar has the characteristics of long-distance all-weather high-resolution imaging, automatic target identification and advanced digital processing capabilities, and the high resolution is the combination of azimuth and direction. The result of the aperture technology, on the other hand, is the result of the pulse compression in the range direction. It can be seen that the maturity and accuracy of the pulse compression technology greatly affect the quality of the final SAR imaging. In the pulse compression technique, the generation of the pulse compression reference matrix is ​​an i...

AI Technical Summary

Problems solved by technology

At present, the generation of the reference matrix adopts the method of double loop, which is serially generated on the CPU, but the integration degree of the CPU is relatively low, the parallelism of the algorithm is relatively poor, and the operation efficiency is relatively low, and the GPGPU is a processing-intensive data processing method. Processors that can contain hundreds or thousands of processing cores and parallel data are more suitable for large-scale parallel computing

However, the generation of pulse compression reference matrices is not currently done in parallel on hundreds of processing cores

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