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Self-trained artificial neural network for physical classification of ionospheric radar data
OI Berngardt, OA Kusonsky, AI Poddelsky… - Advances in Space …, 2022 - Elsevier
In the paper an algorithm for automatic classification of signals received by decameter
coherent scatter radars is described. The algorithm is self-trained on unlabeled dataset and …
coherent scatter radars is described. The algorithm is self-trained on unlabeled dataset and …
[HTML][HTML] Interferometric calibration and the first elevation observations at EKB ISTP SB RAS radar at 10–12 MHz
The method for calibrating elevation measurements at EKB ISTP SB RAS radar obtained for
the period 20/09/2019–18/11/2019 is presented. The calibration method is a modernization …
the period 20/09/2019–18/11/2019 is presented. The calibration method is a modernization …
Processing Method of Civil Radar Echo Signal Based on Kalman Filter Algorithm
J Pan - International Conference on Advanced Hybrid …, 2023 - Springer
With the popularization of civil radar application, it has great development potential in the
situations of earthquake disasters and engineering accidents, such as personnel search and …
situations of earthquake disasters and engineering accidents, such as personnel search and …
The first comparative analysis of meteor echo and sporadic scattering identified by a self-learned neural network in EKB and MAGW ISTP SB RAS radar data; The first …
O Berngardt - Solar-Terrestrial Physics, 2022 - ui.adsabs.harvard.edu
The paper describes the current version (v. 1.1) of the algorithm for automatic classification
of signals received by ISTP SB RAS decameter coherent scatter radars. The algorithm is a …
of signals received by ISTP SB RAS decameter coherent scatter radars. The algorithm is a …