UDC 621.391.8; GRNTI 47.05
OPTIMIZATION OF LINEAR SIGNAL PROCESSING AGAINST BACKGROUND OF POLARIZED INTERFERENCE
Yu. N. Parshin, Dr. in technical sciences, full professor, Head of the Department, RSREU, Ryazan, Russia; orcid.org/0000-0003-0061-7804, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
N. А. Shashin, postgraduate student, RSREU, Ryazan, Russia;
orcid.org/0009-0002-5349-9629, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The paper considers the possibility of using polarization characteristics to perform interference sup pression tasks. Polarization characteristics and their effect on signal-to-noise ratio are analyzed. Mutual influence of signal and interference ellipticity coefficients, the angle of signal and interference ellipses axes spatial orientation and the direction of electric field strength vector rotation when performing tasks of polar ization selection are considered. Graphs of signal-to-noise ratio dependences on polarization characteristics are constructed. The possibility of using polarization characteristics of received signals for selection when performing interference suppression tasks is shown. The range of changes in the values of polarization char acteristics is determined for the most effective selection, as well as having the least effect on signal-to-noise ratio.
Key words: : polarization selection, polarization characteristics, ellipticity coefficient, polarization coeffi cient, signal-to-noise ratio, polarization ellipse spatial orientation angle.