Solar-Terrestrial Physics Solar-Terrestrial Physics Solar-Terrestrial Physics 2500-0535 122591 10.12737/stp-122202609 nrjatv Results of current research Results of current research Results of current research Method for estimating parameters of multi-mode signals measured at SECIRA radars Method for estimating parameters of multi-mode signals measured at SECIRA radars https://orcid.org/0000-0002-3837-8207 Бернгардт Олег Игоревич Berngardt Oleg Igorevich berng@iszf.irk.ru

кандидат физико-математических наук;

candidate of physical and mathematical sciences;

 Институт солнечно-земной физики СО РАН Иркутск Россия Institute of Solar-Terrestrial Physics SB RAS Irkutsk Russian Federation 12 2 76 88 18 07 2025 23 01 2026 https://naukaru.ru/en/nauka/article/122591/view

The paper presents the algorithm for evaluating parameters of coherent scattering signals, which is based on the assessment of their parametric spectra by the well-known autoregression ARMA(10,10) model. The assessment consists of autoregression over 10 sequence members, moving average over residuals for 10 sequence members, and subsequent fitting of the resulting spectra with the sum of gaussian functions. The algorithm is a development of Burg’s method, previously proposed for the analysis of SuperDARN data. It differs from the method in the use of a more complex regression model, consideration of characteristics of the correlation function, and determination of three parameters for each peak (mode) — amplitude, Doppler velocity, and spectral width. Comparison shows that the best continuity between the parameters of multi-mode signals, obtained by new and standard signal processing methods, is provided by analysis of the mode with maximum integral power. The analysis has revealed that new and standard methods in the case of single-mode signals give close Doppler velocities. The multi-mode analysis presented in the paper increases the number of detected signals of various types, and can be employed to expand the diagnostic capabilities of SECIRA/SuperDARN radars, including automatic classification of each mode.

The paper presents the algorithm for evaluating parameters of coherent scattering signals, which is based on the assessment of their parametric spectra by the well-known autoregression ARMA(10,10) model. The assessment consists of autoregression over 10 sequence members, moving average over residuals for 10 sequence members, and subsequent fitting of the resulting spectra with the sum of gaussian functions. The algorithm is a development of Burg’s method, previously proposed for the analysis of SuperDARN data. It differs from the method in the use of a more complex regression model, consideration of characteristics of the correlation function, and determination of three parameters for each peak (mode) — amplitude, Doppler velocity, and spectral width. Comparison shows that the best continuity between the parameters of multi-mode signals, obtained by new and standard signal processing methods, is provided by analysis of the mode with maximum integral power. The analysis has revealed that new and standard methods in the case of single-mode signals give close Doppler velocities. The multi-mode analysis presented in the paper increases the number of detected signals of various types, and can be employed to expand the diagnostic capabilities of SECIRA/SuperDARN radars, including automatic classification of each mode.

 decameter radar SECIRA ionosphere multi-mode signals decameter radar SECIRA ionosphere multi-mode signals The work was financially supported by the Ministry of Science and Higher Education in terms of maintaining the EKB and MAGW radars and by RSF in terms of research (grant No. 24-22-00436) [https://rscf.ru/project/24-22-00436/] The work was financially supported by the Ministry of Science and Higher Education in terms of maintaining the EKB and MAGW radars and by RSF in terms of research (grant No. 24-22-00436) [https://rscf.ru/project/24-22-00436/]

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