基于高性能计算的雷达信号处理研究综述

doi:10.16180/j.cnki.issn1007-7820.2021.09.001

Abstract

Abstract:

With the development of software defined radar technology and the ever-increasing complexity of signal processing algorithms, high performance computing hardware such as multi-core CPU and graphics processing unit has been widely used in radar system. This study focuses on recent technological progress of software and hardware for high performance computing, and briefly analyzes and reviews the technical characteristics of parallel computing models including CUDA, OpenCL, OpenMP, MPI and Pthread. A CPU-based parallel radar signal processing algorithm is designed using multi-threaded pipeline technology. The development trend for radar signal processing using high-performance computing in the future is prospected.

Key words: radar signal processing, high performance computing, parallel computing, GPU, accelerator, parallel programming model, OpenCL, pipeline

CLC Number:

TP391

GENG Zhaoqian,ZHU Huming,LI Xuming,CHEN Meiqing,YANG Guipeng. A Review: Radar Signal Processing Based on High Performance Computing[J].Electronic Science and Technology, 2021, 34(9): 1-6.

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References 20

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硬件	典型产品	计算能力 /FLOPs	并行编程模型	并行算法开发难度	开发周期
DSP	TMS320C6678	160 G	OpenMP OpenCL	较难	较长
CPU	Xeon Platinum 9200	4.5 T	OpenMP OpenCL Pthread MPI	容易	短
GPU	Tesla V100	15 T	CUDA OpenCL	中等	短
FPGA	Agilex	11.8 T	OpenCL VHDL	难	较长

A Review: Radar Signal Processing Based on High Performance Computing

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