Publication Type:

Conference Paper

Source:

2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011, Chunkankadai, p.681-685 (2011)

ISBN:

9781424479238

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-79957587929&partnerID=40&md5=f8bce35561532f97a46a76741fa6c620

Keywords:

Attractive solutions, Cognitive radio, Cognitive systems, Conventional methods, Loss-of-signal, Low signal-to-noise ratio, Low SNR, New dimensions, Radio, Radio systems, Real-time application, Sensors, Signal to noise ratio, Spectral congestion, Spectrum sensing, Spectrum utilization, Wavelet analysis, Wavelet-based approach, Wavelets, Wireless communications, Wireless telecommunication systems

Abstract:

Wireless communication is an emerging and evergreen field of research and will continue to be so in the future. Increased demands in spectrum and users eventually result in spectral congestion. Cognitive Radio systems provide an intelligent and an attractive solution to this problem. Spectrum Sensing is the main key for the functioning of Cognitive Radio and helps in efficient spectrum utilization. Wavelets provide a new dimension to tackle spectrum sensing when compared to the conventional methods. In real time applications, loss of signal is prominent in low SNR conditions and hence a system capable of working under such conditions will prove to be an asset. In this paper, a wavelet based approach to spectrum sensing at low SNRs is dealt with. A new algorithm for spectrum sensing has been proposed here which emphasizes more on the functioning of systems in low SNR conditions. © 2011 IEEE.

Notes:

cited By (since 1996)1; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@7a68accf ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@6e2988d1 Through org.apache.xalan.xsltc.dom.DOMAdapter@68d589d7; Conference Code:84968

Cite this Research Publication

A. Chandran, R. Karthik, A., Kumar, A., Naidu, R. C., M. Siva, S., Iyer, U. S., and R. Ramanathan, “A novel spectrum sensing technique for low Signal to Noise Ratio conditions”, in 2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011, Chunkankadai, 2011, pp. 681-685.