Single User Eigenvalue Based Detection For Spectrum Sensing In Cognitive Radio Network
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 5
Abstract
Scarcity of spectrum is the issue that wireless communication technology has to deal with. Primary user is the licensed user of the spectrum. When primary user is idle or not using the spectrum secondary user can utilize the spectrum. This sharing of spectrum can be enabled by cognitive radio (CR) technology. The heart of enabling this technology is spectrum sensing. Spectrum sensing involves detection of primary signal at very low SNR (in the range of -20 dB), under noise and interference uncertainty. This requirement makes spectrum sensing, a hard nut to crack. Another major issue in detection is hidden node problem wherein the node in vicinity of primary transmitter also indicates absence of the primary signal since it is hidden behind the large object. There are various algorithms for detection viz. energy detection, matched filter detection, feature detection (cyclostationary detection, eigen-value based detection etc.) These algorithms have limitations of complexity, requirement of signal knowledge and detection performance. In this paper the performance of eigenvalue based detection (EBD) method in presence of noise and low SNR of the received signal has been evaluated for a single user
Authors and Affiliations
Sheetal Jain1 , Madhukar Deshmukh2
Keywords
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