Abstract
Cognitive radio is an intelligent radio that is leap ahead of the conventional wireless communication mechanism. In cognitive radio, underutilized licensed frequency bands are efficiently utilized by means of dynamic spectrum allocation (DSA). This paper reviews the three major spectrum sensing techniques, namely (1) energy detection, (2) matched filter detection and (3) covariance-based detection in detail along with their software implementation. Analysis of these techniques is formulated by using their respective probability detection (Pd) vs. signal-to-noise ratio (SNR), and using these Pd vs. SNR curve, comparison is carried out between the three techniques on the basis of (a) performance with respect to SNR, (b) sensing time, (c) complexity and (d) practicality. The motivation for this paper is to choose the optimum spectrum sensing technique out of all the included techniques.
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Dharmapuri, C.M., Sharma, N., Mahur, M.S., Jha, A. (2023). Analysis of Spectrum Sensing Techniques in Cognitive Radio. In: Chatterjee, P., Pamucar, D., Yazdani, M., Panchal, D. (eds) Computational Intelligence for Engineering and Management Applications. Lecture Notes in Electrical Engineering, vol 984. Springer, Singapore. https://doi.org/10.1007/978-981-19-8493-8_52
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DOI: https://doi.org/10.1007/978-981-19-8493-8_52
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