1.
Bîră, Călin; Rusu-Casandra, Alexandru
Dataset of Spatial Objects Acquired using Romania's First Ground-Based Space Tracking Radar Proceedings Article
In: 2022 14th International Conference on Communications (COMM), pp. 1-6, 2022.
Abstract | Links | BibTeX | Tags: Spaceborne radar;Surveillance;Pipelines;Receivers;Radar tracking;Spatial databases;Data models;ground-based space radar dataset;orbiting objects;space surveillance and tracking;space debris
@inproceedings{9817333,
title = {Dataset of Spatial Objects Acquired using Romania's First Ground-Based Space Tracking Radar},
author = {Călin Bîră and Alexandru Rusu-Casandra},
doi = {10.1109/COMM54429.2022.9817333},
year = {2022},
date = {2022-06-01},
booktitle = {2022 14th International Conference on Communications (COMM)},
pages = {1-6},
abstract = {Raw spatial-objects radar data is scarce and hard to obtain, obstructing simulations and making improvements to the processing pipeline rather difficult. We provide such a radar dataset of five spatial objects, acquired using the Romania's first spatial-object tracking radar, the Cheia Radar. The dataset contains the tracking of five different objects for a few minutes, using 125W transmitting power and a 2-channel 16-bit 100MSa/s ADC for the receiver end. The input conditions/TLE and the output data format are described; the digital processing pipeline used to extract relevant data is specified so that other researchers may easily use the dataset, which is available on Microsoft Sharepoint.},
keywords = {Spaceborne radar;Surveillance;Pipelines;Receivers;Radar tracking;Spatial databases;Data models;ground-based space radar dataset;orbiting objects;space surveillance and tracking;space debris},
pubstate = {published},
tppubtype = {inproceedings}
}
Raw spatial-objects radar data is scarce and hard to obtain, obstructing simulations and making improvements to the processing pipeline rather difficult. We provide such a radar dataset of five spatial objects, acquired using the Romania's first spatial-object tracking radar, the Cheia Radar. The dataset contains the tracking of five different objects for a few minutes, using 125W transmitting power and a 2-channel 16-bit 100MSa/s ADC for the receiver end. The input conditions/TLE and the output data format are described; the digital processing pipeline used to extract relevant data is specified so that other researchers may easily use the dataset, which is available on Microsoft Sharepoint.