Tracking.jl: Accelerating multi-antenna GNSS receivers with CUDA

This repository contains the source code for the paper "Tracking.jl: Accelerating multi-antenna GNSS receivers with CUDA". It is submitted to be published in the JuliaCon Proceedings. desktop_allplots

Scripts reproducing the benchmarks and figures can be found under /scripts, the algorithms source code under /src. Paper itself resides under /paper. Here is a URL to the current paper.pdf.

Data

You can download the raw data from the experiments on the two platforms specified in the paper here. The dataset is identified witha a DOI: 10.5281/zenodo.5933726

How to use this repository

This code base is using the Julia Language and DrWatson to make a reproducible scientific project named

GPUAcceleratedTracking

It is authored by Can Özmaden.

To (locally) reproduce this project, do the following:

Download this code base. Notice that raw data are typically not included in the git-history and may need to be downloaded independently.

Open a Julia console and do:

julia> using Pkg
julia> Pkg.add("DrWatson") # install globally, for using `quickactivate`
julia> Pkg.activate("path/to/this/project")
julia> Pkg.instantiate()

This will install all necessary packages for you to be able to run the scripts and everything should work out of the box, including correctly finding local paths.