MITIGATING THE INTERFERENCE IN DYNAMIC SPECTRA IN THE PRESENCE OF POWERFUL SIGNALS. Part 2. NARROWBAND INTERFERENCES OF CONDITIONALLY STATIONARY CHARACTER

DOI: https://doi.org/10.15407/rpra29.02.085

V. B. Ryabov, V. V. Zakharenko, V. Yu. Kharlanova

Abstract


Subject and Purpose. A new method for detecting narrow band interferences is discussed, with the use of an example record of Jovi- an Io-C decametric radio storm as obtained with the UTR-2 array on April 10, 2020. We aimed at developing an efficient and simple algorithm based on a detailed analysis of the effect the radio interference environment and the frequency response of the telescope may have on the efficiency of the interference mitigation procedure.

Methods and Methodology. The ‘orthogonal detection’ method proposed for identifying linear interference patterns in dynamic spectra of powerful radio sources has been adapted for application to narrow band interferences of various spectral widths and variable brightness, which often happen to be located close to (or intersect with) the signal of interest. In order to minimize the impact of the telescope’s frequency response, a discretized frequency-scanning technique is used, which permits a steady approximation of the averaged spectrum by low order polynomials, as well as removal of the frequency trend which hinders distinguishing between the low-level interference signals and those coming from the source.

Results. An efficient approach to the problem of detecting long lasting, narrowband interferences in dynamical spectra (con- ditionally stationary interferences) is proposed. The algorithm has been tested on the example of a powerful storm of Jovian radio emission. The proposed technique can be especially useful in situations where the signal of interest overlaps with the interference in the time-frequency domain.

Conclusions. The new approach to the problem of interference mitigation, based on the development of combined algorithms of signal separation in the time-frequency domain, has been shown to offer an effective method of signal processing. In contrast to the previously used methods based on calculation of statistical moments for amplitudes, the new approach allows avoiding use of the same statistical indicators for both interference detection and subsequent steps of data analysis intended for building physical models and interpreting the observational data.

Keywords: narrow-band interferences; Jovian S- and L- emissions; statistical indicators; moments; UTR-2; digital signal processing; amplitude thresholding

Manuscript submitted 22.12.2023

Radio phys. radio astron. 2024, 29(2): 085-097

REFERENCES

1. Ryabov, V. B., Zakharenko, V. V., Kharlanova, V. Yu., 2024. Mitigating interference in dynamic spectra in the presence of powerful signals. Part 1. Powerful broadband pulses and linear frequency-modulated interference. Radio Phys. Radio Astron., 29(1), pp. 3—14. DOI: https://doi.org/10.15407/rpra29.01.003

2. Warwick, J. W., Dulk, G. A., 1964. Faraday Rotation on Decametric Radio Emissions from Jupiter. Science, 145(3630), pp. 380— 383. DOI: https://doi.org/10.1126/science.145.3630.380

3. Mauduit, E., Zarka, P., Lamy, L., and Hess, S.L. G., 2023. Drifting discrete Jovian radio bursts reveal acceleration processes related to Ganymede and the main aurora. Nature Commun., 14(5981), pp. 1—11. DOI: https://doi.org/10.1038/s41467-023-41617-8

4. Connerney, J.E.P., Timmins, S., Oliversen, R. J., Espley, J. R., Joergensen, J. L., Kotsiaros, S., Joergensen, P.S., Merayo, J.M.G., Herceg, M., Bloxham, J., Moore, K. M., Mura, A., Moirano, A., Bolton, S.J., and Levin, S. M., 2022. A new model of Jupiter’s magnetic field at the completion of Juno’s prime mission. JGR Planets, 127,  e2021JE007055. pp. 1—15. DOI: https://doi.org/10.1029/2021JE007055

5. Offringa, A.R, 2022. Algorithms for radio interference detection and removal. PhD Thesis. Mathematics and natural sciences. Univ. of Groningen. 212p.

6. Zeller, S., and Rogers, D., 2020. Visualizing science: How color determines what we see. Eos, 101, DOI: https://doi.org/10.1029/2020EO144330


Keywords


narrow-band interferences; Jovian S- and L- emissions; statistical indicators; moments; UTR-2; digital signal processing; amplitude thresholding

Full Text:

PDF


Creative Commons License
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)