학술논문

Towards Benchmarking GNSS Algorithms on FPGA using SyDR
Document Type
Conference
Source
2023 International Conference on Localization and GNSS (ICL-GNSS) Localization and GNSS (ICL-GNSS), 2023 International Conference on. :1-7 Jun, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Geoscience
Signal Processing and Analysis
Global navigation satellite system
Codes
Software algorithms
Receivers
Benchmark testing
Hardware
Timing
Benchmarking
Computational complexity
Field-programmable gate array (FPGA)
Global Navigation Satellite System (GNSS)
Open-source software
Language
ISSN
2325-0771
Abstract
Global Navigation Satellite System (GNSS) is widely used today for both positioning and timing purposes. Many distinct receiver chips are available off-the-shelf, each tailored to match various applications’ requirements. Being implemented as Application-Specific Integrated Circuits, these chips provide good performance and low energy consumption but must be treated as "black boxes" by customers. This prevents modification, research in GNSS processing chain enhancement (e.g., application of Approximate Computing techniques), and design-space exploration for finding the optimal receiver implementation per each use case. In this paper, we review the development of SyDR, an open-source Software-Defined Radio oriented towards benchmarking of GNSS algorithms. Specifically, our goal is to integrate certain components of the GNSS processing chain in a Field-Programmable Gate Array and manage their operation with a Python program using the Xilinx PYNQ flow. We present the early steps of converting parts of SyDR to C, which will be later converted to Hardware Description Language descriptions using High-Level Synthesis. We demonstrate successful conversion of the tracking process and discuss benefits and drawbacks arising thereof, before outlining next steps in preparation for hardware implementation.