| Autor: |
Al-Haddad, Mohammed K., Ziboon, Hadi T. |
| Předmět: |
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| Zdroj: |
International Journal of Intelligent Engineering & Systems; 2020, Vol. 13 Issue 4, p399-407, 9p |
| Abstrakt: |
Due to the inefficient use of the licensed frequency spectrum, a significant portion of the spectrum is left unutilized. This has led to the emerging of the Cognitive Radio (CR) as new technology that can access the white spaces in the licensed spectrum for improved spectrum utilization efficiency. In this paper, we present a scheme for detecting cyclostationary feature embedded in multicarrier signals like Orthogonal Frequency Division Multiplexing (OFDM) and Filter Bank Multicarrier (FBMC). The cyclostationary feature is generated due to the presence of pilot signals at certain subcarriers commonly used for channel estimation and frequency offset estimation. Therefore, no especial restrictions on the Primary User (PU) signal are imposed in order to generate the desired Cyclostationary Signature (CS). Both cases of scattered pilots and continuous pilots are considered. The algorithm is based on observing a periodic pattern in the cyclic autocorrelation function created by the pilot subcarriers, this periodic pattern is considered the cyclic signature and it can be extracted without prior knowledge of the signal parameters. The performance is evaluated under different impairments conditions like timing offset, frequency offset and multipath channel in addition to AWGN. Results show that FBMC has about 2-3dB signal-to-noise ration advantage over OFDM in continuous pilots mode and both modulations perform comparably in scattered pilots mode. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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