Data underlying: 3D Motion-Based High-Resolution Imaging Techniques for Automotive Radar

DOI:10.4121/82c618fe-94fd-43e3-b41a-e62beaf0c159.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/82c618fe-94fd-43e3-b41a-e62beaf0c159
Datacite citation style:
yuan, sen; Francesco Fioranelli; Yarovoy, Alexander (2024): Data underlying: 3D Motion-Based High-Resolution Imaging Techniques for Automotive Radar. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/82c618fe-94fd-43e3-b41a-e62beaf0c159.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

In this project, a high-resolution imaging algorithm for automotive radar systems is investigated. The motion information of the radar is used to boost the spatial resolution of current automotive radar systems. The azimuth and elevation information are considered in the imaging algorithm as well. Some initial simulated data are shared in https://github.com/ysflying/srdataset, additional data will be shared at the completion of the project.

History

  • 2024-04-10 first online, published, posted

Publisher

4TU.ResearchData

Format

Matlab data files <.mat> in compressed files <zip> and data read file as Matlab script <.m>

Funding

  • China Scholarship Council (CSC)

Organizations

TU Delft, Faculty Electrical Engineering, Mathematics and Computer Science, Department of Microelectronics

DATA

Files (2)