SPECTRUM SENSING USING ENERGY DETECTOR AND MATCHED FILTER COGNITIVE RADIO
SPECTRUM SENSING USING ENERGY DETECTOR AND MATCHED FILTER COGNITIVE RADIO
ENERGY DETECTOR AND MATCHED FILTER COGNITIVE RADIO BASED ON SPECTRUM SENSING
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The content of the project:
1. IEEE standard reference paper
2. PowerPoint presentation
3. Screenshots
4. Software
5. Source code
6. Videos
7. ReadMe document to guide.
ABSTRACT:
Increasing use of wireless applications is putting a pressure on licensedspectrum which is insufficient and expensive. Indeed, because of allocation of fixedspectrum, more portion of spectrum is underutilized. Spectrum sensing can be usedfor efficient use of the radio spectrum. It detects the unused spectrum channels incognitive radio network. In cognitive radio, spectrum sensing techniques such asenergy detection, cyclostationary feature-based spectrum sensing technique, mat-ched filter detection, etc., have been used. When user information is available,matched filter-based sensing gives better performance. In this paper, the probabilityof detection (PD) and probability of false alarm (PFA) at different SNR levels areobserved. Matched filter detection performance depends on threshold value todetect the primary user.
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