Performance Analysis of Energy-Based RFI Detector
| Autor: | Wessam Ajib, René Landry, Tilahun M. Getu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Applied Mathematics Detector Astrophysics::Instrumentation and Methods for Astrophysics 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Electromagnetic interference Computer Science Applications 0203 mechanical engineering Likelihood-ratio test 0202 electrical engineering electronic engineering information engineering Kurtosis Baseband Radio frequency False alarm Electrical and Electronic Engineering Algorithm Energy (signal processing) |
| Zdroj: | IEEE Transactions on Wireless Communications. 17:6601-6616 |
| ISSN: | 1558-2248 1536-1276 |
| DOI: | 10.1109/twc.2018.2861733 |
| Popis: | As radio frequency interference (RFI) affects many systems operating radio frequencies, RFI detection is essential for excising such RFI efficiently. For this reason, here we investigate an energy-based RFI detector for wireless communication systems suffering from RFI. For this detector, its average probability of RFI detection is studied and approximated, and asymptotic closed-form expressions are derived. Besides, an exact closed-form expression for its average probability of false alarm is derived. Monte-Carlo simulations validate the derived analytical expressions and corroborate that the investigated energy detector (ED) outperforms a kurtosis detector (KD)—even under the scenario that KD intercepts the received signal for a longer interval—and a generalized likelihood ratio test detector (GLRT). At last, the performance of ED is also assessed using real-world RFI contaminated data. |
| Databáze: | OpenAIRE |
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