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@article{145816,
        author = {S.S.Rokade and K.P.fulpagar},
        title = {Spectrum Sensing for TV Band using NI- USRP and Lab VIEW},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {1594-1599},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145816},
        abstract = {Spectrum sensing is a major part for the implementation of Cognitive Radio (CR) systems in order to enable dynamic access to the radio frequency spectrum. The digital transition of TV transmission will make available some TV frequencies which are to be geographically unused called as TV White Spaces. Our result shows poor spectrum utilization in TV band and good potential for Cognitive radio operation.  In our present work, we have correlated Cyclostationary feature detection and Energy detection technique for spectrum sensing with their merits and demerits using NI Lab VIEW. We particularly focus on the detection method based on cyclostationary feature detectors (CFD) estimation. The advantage of CFD is its relative robustness against noise uncertainty compared with energy detection methods. The experimental results present in this paper show that the cyclostationary feature-based detection can be robust compared to energy-based technique in real time},
        keywords = {Spectrum sensing; USRP; Energy Detection; Cyclostationary Feature Detection},
        month = {},
        }