Work place: Jaypee University of Information Technology, ECE Deptt.Waknaghat,Solan -173234, India
E-mail: divyajoshi26@gmail.com
Website:
Research Interests: Computer systems and computational processes, Computer Networks
Biography
Divya Joshi completed her Master of Technology from the Department of Electronics & Communication Engineering, Jaypee University of Information Technology, Waknaghat, Solan (H.P.), India in 2014. She did her B.E. in Electronics and Communication Engineering from Maharishi Arvind Institute of Engineering & Technology, Jaipur, India. Her area of interest is 5G wireless communication and wireless sensor networks.
By Divya Joshi Neeru Sharma Jaskirat Singh
DOI: https://doi.org/10.5815/ijieeb.2015.05.03, Pub. Date: 8 Sep. 2015
Spectrum sensing is an important task in cognitive radio (CR). Matched filter technique one of the techniques employed for spectrum sensing in cognitive radio which faces the challenge of low frequency offset tolerance in very low SNR environments. Hybrid matched filter architecture is used to improve this frequency offset tolerance. But, overall even such kind of architecture results in coarse detection. In very low SNR environments, where primary user is highly mobile, the multipath profile results in unknown phase of signal. Such kind of signal cannot even be detected by Hybrid Matched Filter. In this paper we propose combination of Hybrid Matched Filter and Single Cycle Cyclostationary Feature Detector to enhance the detection of such architecture. This results in both high frequency offset tolerance as well as fine detection of signal with unknown phase in very low SNR environments. Simulation results show significant improvement in the probability of detection and false alarm of the proposed scheme over Hybrid Matched Filter.
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