Solver for MLAT localization problem + tracking software
doi:10.4121/996cb843-1d08-4740-8ac0-f59146c47ce8.v1
The doi 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: 10.4121/996cb843-1d08-4740-8ac0-f59146c47ce8
doi: 10.4121/996cb843-1d08-4740-8ac0-f59146c47ce8
Datacite citation style:
Surma, Filip; Osypiuk, Rafał (2024): Solver for MLAT localization problem + tracking software. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/996cb843-1d08-4740-8ac0-f59146c47ce8.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
by
Filip Surma
,
Rafał Osypiuk
,
Rafał Osypiuk
In this software, 6 different algorithms were implemented to localize aircraft based on MLAT measurements. Moreover, 2 different algorithms were implemented to track over time the location of noisy computed locations. The objective of this software was to compare these algorithms. All input data were generated in simulations and the output data were processed by the implemented algorithms.
history
- 2024-11-19 first online, published, posted
publisher
4TU.ResearchData
format
python code, c++ code (cpp, dll), data in txt files
organizations
Aerobits
DATA
To access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/8401e595-be07-407f-9b41-34517b444117.git "MLAT"
