Abstract
The objective of this project is to develop a spectrum sensing system for Cognitive Radio (CR). Due to abrupt change in the wireless technologies in the last decade, the demand for usage of spectrum had grown to a large extant. This demand is taken care in Cognitive Radios that finds the unoccupied bandwidth and allocates frequency for specific task (Transmission or Reception) in the spectrum rather than static frequency allocation, which is commonly used today. The major task in a cognitive radio is to sense the spectrum for spectrum hole dynamically and allot to the required user. Spectrum sensing requires filtering of allotted channels, digitize and usage of a Spectrum Analyzer (SA) to assess the average power in allotted channels. This project targets at implementing the spectrum sensing task of cognitive radio. A 12-bit ADC is used to digitize the input signal. A FFT based spectrum analyzer is realized to measure the signal average power. Correlation of same input is done in MAC unit to minimize noise presence in the spectrum. The entire spectrum sensing system is implemented in an Altera Stratix II FPGA.
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References
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Veerappan, K., Murali, M. (2021). Spectrum Sensing System for Cognitive Radio. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_206
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DOI: https://doi.org/10.1007/978-981-15-8221-9_206
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