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 contribution | Comparison of Autocorrelation Matrix Based Methods in Interference Detection |
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| Original language | Turkish |
| Title of host publication | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331566555 |
| DOIs | |
| Publication status | Published - 2025 |
| Externally published | Yes |
| Event | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Istanbul, Turkey Duration: 25 Jun 2025 → 28 Jun 2025 |
Publication series
| Name | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings |
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Conference
| Conference | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 |
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| Country/Territory | Turkey |
| City | Istanbul |
| Period | 25/06/25 → 28/06/25 |
Bibliographical note
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