Hardware accelerated range Doppler algorithm for SAR data processing using Zynq processor

Abstract

Purpose Synthetic aperture radar (SAR) imaging is the most computational intensive algorithm and this makes its implementation challenging for real-time application. This paper aims to present the chirp-scaling algorithm (CSA) for real-time SAR applications, using advanced field programmable gate array (FPGA) processor. Design/methodology/approach A chirp signal is generated and compressed using range Doppler algorithm in MATAB for validation. Fast Fourier transform (FFT) and multiplication operations with complex data types are the major units requiring heavy computation. Therefore, hardware acceleration is proposed and implemented on NEON-FPGA processor using NE10 and CEPHES library. Findings The heuristic analysis of the algorithm using timing analysis and resource usage is presented. It has been observed that FFT execution time is reduced by 61% by boosting the performance of the algorithm and speed of multiplication operation has been doubled because of the optimization. Originality/value Very few literatures have presented the FPGA-based SAR imaging implementation, where analysis of windowing technique was a major interest. This is a unique approach to implement the SAR CSA using a hybrid approach of hardware–software integration on Zynq FPGA. The timing analysis propagates that it is suitable to use this model for real-time SAR applications.

Research on optical fiber online real-time detection equipment based on ZYNQ

“…Optical fiber data has high frequency and large amount of data, so DMA is used for data transmission between PL and PS. The control information is flexible and changeable, so BRAM is used to store the control information between PS and PL [4,5,6]. The PL side is integrated with an FPGA, which is very suitable for processing high-speed data due to the parallel processing characteristics of the FPGA.…”