Realization and Optimization of Pulse Compression Algorithm on OpenCL-Based FPGA Heterogeneous Computing Platform

摘要

The development of modern radar signal processing technology put forward higher requirements for processor performance. However, Moore's law encounters bottlenecks, the computational performance of general-purpose processors is constrained and can not meet application requirements. The high-performance and low-power features of FPGA make them recently become of interest in research as a heterogeneous computing platform together with CPU. Pulse compression algorithm is widely used in the field of radar signal processing, which contains a large number of floating-point computing, the processing effect largely depends on the performance of the processor. Based on Open Computing Language (OpenCL), we first evaluated the Fast Fourier Transform (FFT) of various sample sizes on ArrialO FPGA board and FPGA achieve up to 33.5 times the performance improvement compared to DSP C6678 on processing different sample size of FFT. Then we realize a 4 K x 8 K size pulse compression processing using kernel channel. The results show that the core computation implemented on ArrialO FPGA through OpenCL is approximately 10x faster than DSP C6678 for 4 K x 8 K size pulse compression processing.