Detecting Outlier Positions in Publicly Available ADS-B Data Sets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00376524" target="_blank" >RIV/68407700:21260/24:00376524 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/NTCA60572.2024.10517858" target="_blank" >https://doi.org/10.23919/NTCA60572.2024.10517858</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/NTCA60572.2024.10517858" target="_blank" >10.23919/NTCA60572.2024.10517858</a>
Alternative languages
Result language
angličtina
Original language name
Detecting Outlier Positions in Publicly Available ADS-B Data Sets
Original language description
Automatic Dependent Surveillance - Broadcast (ADS-B) is one of the most widely used surveillance technologies in aviation. The data from ADS-Bare extensively used for commercial and research purposes. Incorrect positional messages present in the data could lead to wrong or misleading scientific conclusions. The paper presents two different methods for ADS-B position outlier detection. First, the use of Density Based Spatial Clustering of Applications with Noise algorithm is proposed. Second, the use of the Interacting Multiple Model algorithm is proposed, where the statistical distribution of the innovation is as a means for outlier detection. Both algorithms are compared on a large publicly available data set consisting of 513 million messages. The advantages and disadvantages of both of the algorithms are discussed and recommendations for their use are provided. The results indicate that up to 0.75 % of ADS-B Airborne Position Messages should be discarded.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
New Trends in Civil Aviation: Proceedings of the 24th International Conference on New Trends in Civil Aviation 2024
ISBN
978-80-01-07181-6
ISSN
2694-7854
e-ISSN
—
Number of pages
7
Pages from-to
19-25
Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Praha
Event date
Apr 25, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001223424800043