| Autor: |
S A Arun Sagar, Smt G Shubha, H S Prathima, V Thejashwini, J Preethu |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 2nd Global Conference for Advancement in Technology (GCAT). |
| DOI: |
10.1109/gcat52182.2021.9587694 |
| Popis: |
Spectrum shortage is a key problem as wireless communication is developing at an increasing rate. Licensed spectrum band users only use a portion of their reserved resources; thus, cognitive radios (CRs) are a necessary component to unlock the unclaimed spectrum through dynamic spectrum management. The goal of Spectrum Sensing is to analyze a specific frequency band regularly, to detect the presence or absence of the Primary User. Cyclo-stationary spectrum density detection technique is robust in the sense that it can detect active or licensed user signals blindly. Cyclo-stationary based detection uses the cyclic autocorrelation function to sense unoccupied spectrum gaps. Signal detection with a low signal-to-noise ratio (SNR) is optimal for cyclo-stationary spectrum detectors. In this paper cyclo-stationary spectrum detection using GNU radio is performed and compared with energy detection method of spectrum sensing. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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