| Issue |
E3S Web Conf.
Volume 446, 2023
2nd International Conference on High-Speed Transport Development (HSTD 2023)
|
|
|---|---|---|
| Article Number | 06001 | |
| Number of page(s) | 5 | |
| Section | Mathematical Modeling | |
| DOI | https://doi.org/10.1051/e3sconf/202344606001 | |
| Published online | 10 November 2023 | |
Algorithms for Selection and Combination of Sliding Intervals for Identification Based on Large Volumes of Flight Data
1 State Research Institute of Aviation Systems, Moscow, Russia
2 Moscow Aviation Institute (National Research University), Moscow, Russia
* Corresponding author: marmotto@rambler.ru
This article considers approaches to processing large volumes of flight data using parametric identification methods. The problem is studied from the point of view of selecting informative areas based on a preliminary assessment of identification errors. The paper offers algorithms for combining estimates of pro-cessing intervals for the problem of signal recovery while ensuring its continuity. Their performance is presented by the processing of data obtained at a simulation bench.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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