On the effect of uncompensated latencies on trajectory reconstruction for surveillance performance monitoring

In this paper we present the outcomes of the validation of a new error model for ADS-B data that could be used to improve the Opportunity traffic reconstructor (OTR) module of the EUROCONTROL SASS-C suite. The new error model simplifies former models considering just a time bias due to uncompensated...

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Bibliographic Details
Main Authors: Chuquitarco Jimenez, Carlos A., Vico Navarro, Joaquin, Puchol, Cecilia Claramunt, Balbastre, Juan V.
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
ADS-B
bias estimation and correction
Computational modeling
Data models
Estimation
Inertial navigation
Kalman filter
Mathematical models
OTR
SAAS-C
Surveillance
uncompensated latency
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Summary:In this paper we present the outcomes of the validation of a new error model for ADS-B data that could be used to improve the Opportunity traffic reconstructor (OTR) module of the EUROCONTROL SASS-C suite. The new error model simplifies former models considering just a time bias due to uncompensated latencies, thus neglecting space bias terms representing the drift caused by inertial navigation systems. Moreover, the error model computes the ADS-B error covariance matrix from the reported positions, leading to a more accurate estimation of the measurement noise. Several numerical experiments have been conducted using a test bench implemented in Matlab® to showcase the potential improvement provided by the proposed new error model.
ISSN:2155-4951
DOI:10.1109/ICNS58246.2023.10124264