Giri sim Tespitinde zilinti Matrisi Tabanli Y ntemlerin Kar sila stirmasi

Translated title of the contribution: Comparison of Autocorrelation Matrix Based Methods in Interference Detection

Arca Bestek*, Ozgur Ozdemir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study, the performance of four methods using different techniques were compared for the first time to detect wideband frequency-modulated (FM) disturbing interference signals in Global Positioning System L1 satellite signals. For this purpose; methods that use the eigenvalue and trace information of the autocorrelation matrix were examined. Simulations were run by adding -25 dB signal-to-noise ratio white noise and different jamming-to-signal ratios FM interferance to Global Positioning System data downloaded from IEEE DataPort. It has been detected that eigenvalue-based methods make more successful estimations than trace-based methods. It can be beneficial for navigation and communication studies.

Translated title of the contributionComparison of Autocorrelation Matrix Based Methods in Interference Detection
Original languageTurkish
Title of host publication33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331566555
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Istanbul, Turkey
Duration: 25 Jun 202528 Jun 2025

Publication series

Name33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings

Conference

Conference33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025
Country/TerritoryTurkey
CityIstanbul
Period25/06/2528/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

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