Anten Tabanlı Girişim Bastırma Yöntemleri
Özet
Electromagnetic interference problems have been seen since the first day of the use of electromagnetic wave communication. As a result of electromagnetic interference, undesirable situations may occur such as the performance of the system exposed to the interference decreases, the desired signal cannot be received, the desired signal is mixed with other signals, causing erroneous information or information loss, and with these effects, the system exposed to the interference becomes unusable/inoperable. These interference problems can arise from external electromagnetic wave sources as well as from the receiving subsystem of the system being affected by its own transmitting subsystem.
In this study, electromagnetic interference problems are examined and interference removal methods are proposed for three interference problems. For the suppression of electromagnetic interference in satellite communication systems where the desired signal direction is known, the usability of the MVDR algorithm, which can process the desired signal direction as input and aim to provide maximum gain in the desired signal direction and maximum suppression in the detected interference signal direction, is discussed. For the suppression of electromagnetic internal/self-interference, where the interference signal originates from the system's own systems/subsystems, the usability of the LCMV algorithm, which can process the direction of the interference signal as input and aim to provide maximum gain in the desired signal direction and maximum suppression in the detected interference signal direction, is discussed. For the supression of external electromagnetic interference in satellite navigation systems where the desired signal does not come from a certain and one direction, the usability of the PI algorithm, which aims to provide maximum suppression in the direction of the detected interference signal without desired signal direction information, is discussed. Simulation studies were carried out for these 3 interference problems and interference removal methods and the results were evaluated.
Keywords: Electromagnetic Interference, Jamming, Electromagnetic Interference Cancellation, Electromagnetic Interference Suppression, Jamming Suppression, MVDR Algorithm, LCMV Algorithm, PI Algorithm
