Towards On-Board SAR Processing with FPGA Accelerators and a PCIe Interface

Author:

Baungarten-Leon Emilio Isaac1ORCID,Martín-del-Campo-Becerra Gustavo Daniel2ORCID,Ortega-Cisneros Susana1ORCID,Schlemon Maron2,Rivera Jorge1ORCID,Reigber Andreas2ORCID

Affiliation:

1. Center for Research and Advanced Studies (CINVESTAV) of the National Polytechnic Institute (IPN), Guadalajara 45019, Mexico

2. Microwaves and Radar Institute (HR), German Aerospace Center (DLR), 82234 Weßling, Germany

Abstract

This article addresses a novel methodology for the utilization of Field Programmable Gate Array (FPGA) accelerators in on-board Synthetic Aperture Radar (SAR) processing routines. The methodology consists of using High-Level Synthesis (HLS) to create Intellectual property (IP) blocks and using the Reusable Integration Framework for FPGA Accelerators (RIFFA) to develop a Peripheral Component Interconnect express (PCIe) interface between the Central Processing Unit (CPU) and the FPGA, attaining transfer rates up to 15.7 GB/s. HLS and RIFFA reduce development time (between fivefold and tenfold) by using high-level programming languages (e.g., C/C++); moreover, HLS provides optimizations like pipeline, cyclic partition, and unroll. The proposed schematic also has the advantage of being highly flexible and scalable since the IPs can be exchanged to perform different processing routines, and since RIFFA allows employing up to five FPGAs, multiple IPs can be implemented in each FPGA. Since Fast Fourier Transform (FFT) is one of the main functions in SAR processing, we present a FPGA accelerator in charge of the reordering stage of VEC-FFT (an optimized version of FFT) as a proof of concept. Results are retrieved in reversed bit order, and the conventional reordering function may consume more than half of the total clock cycles. Next, to demonstrate flexibility, an IP for matrix transposition is implemented, another computationally expensive process in SAR due to memory access.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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