International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 7, No. 5, 8 Sep. 2015
Cover page and Table of Contents: PDF (size: 623KB)
Spectrum Sensing for Cognitive Radio Using Hybrid Matched Filter Single Cycle Cyclostationary Feature Detector
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Author(s)
Divya Joshi
1,*
Neeru Sharma
1
Jaskirat Singh
2
Index Terms
Cognitive Radio, Spectrum Sensing, Matched Filter Detection, Hybrid Matched Filter, Single Cycle Cyclostationary Detection
Abstract
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.
Cite This Paper
Divya Joshi, Neeru Sharma, Jaskirat Singh, "Spectrum Sensing for Cognitive Radio Using Hybrid Matched Filter Single Cycle Cyclostationary Feature Detector", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.7, no.5, pp.13-19, 2015. DOI:10.5815/ijieeb.2015.05.03
Reference
[1]Federal Communication Commission, "Spectrum Policy Task force report", ET Docket No. 02-135, Nov. 2002.
[2]Mitola, J. and J. Maguire, G. Q., "Cognitive radio: making software radios more personal." IEEE Personal Commun. Mag., vol. 6, no. 4, Aug. 1999, pp. 13–18.
[3]S. Haykin, "Cognitive radio: brain-empowered wireless communications," "IEEE J. Select. Areas Commun.", vol. 23, no. 2, 2005, pp. 201–220.
[4]Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran, "NeXt generation/dynamic spectrum access/ cognitive radio wireless networks: A survey", Computer Networks 50(2006), p2127-2159(2006).
[5]I. F. Akyildizet al., "A Survey on Spectrum Management in Cognitive Radio Networks," IEEE Commun. Mag., vol. 46, no. 4, Apr. 2008, pp. 40–48.
[6]Zhang Z, Yang Q, Wang L, Zhou X (2010), "A novel hybrid matched filter structure for IEEE 802.22 standard". Circuit Syst (APCCAS), IEEE Asia Pacific conference, 2010, pp 652–655
[7]S. Enserink and D. Cochran, "A cyclostationary feature detector," in Proc. 28th Asilomar Conf. Signals, Systems, Computers, pp. 806-810, October, 1994. Article (CrossRef Link).
[8]W.A. Gardner, "Exploitation of spectral redundancy in cyclostationary signals," IEEE Signal Processing Magazine, vol. 8, no. 2, pp. 14-36, April 1991.
[9]D. Cabric, "Addressing feasibility of cognitive radios," IEEE Signal Process. Mag., vol. 25, no. 6, pp. 85–93, Nov. 2008.
[10]M.S. Rahaman, D.E. Rodds, "Throughput and PN Codephase Acquisition for Packet CDMA without Preamble"
[11]B. Persson, D.E. Dodds, and R.J. Bolton, "A Segmented Matched Filter for CDMA Code Synchronization in Systems with Doppler Frequency Offset" Proceedings IEEE Globecom, San Antonio, Texas, Nov 2001.
[12]P. K. Sagiraju, S. Agaian, and D. Akopian, "Reduced complexity acquisition of GPS signals for software embedded applications," IEE Proc.-Radar Sonar Navig., vol. 153, no. 1, pp. 69–78, Feb. 2006, doi: 10.1049/ip-rsn:20050091
[13]Natasha Devroye, Patrick Mitran, "Achievable Rates in Cognitive Radio Channels", IEEE Transactions on Information Theory, vol. 52, no. 5, may 2006, pp. 1813-1827.
[14]Ying-Chang Liang, Yonghong Zeng, "Sensing-Throughput Tradeoff for Cognitive Radio Networks", IEEE Transactions on Wireless Communications, vol. 7, no. 4, April 2008, pp 1326-1337.
[15]Tevfik Yucek and Huseyin Arslan, "A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications", IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 116-130.
[16]Ghurumuruhan Ganesan and Ye (Geoffrey) Li, "Cooperative Spectrum Sensing in Cognitive Radio,Part I: Two User Networks", IEEE Transactions on Wireless Communications, vol. 6, no. 6, June 2007, pp. 2204-2213.
[17]Zhi Quan, Shuguang Cui and Ali H. Sayed, "Optimal Linear Cooperation for Spectrum Sensing inCognitive Radio Networks", IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 1, February 2008, pp. 28-40.
[18]Yonghong Zeng, Ying-Chang Liang, "Eigenvalue-Based Spectrum Sensing Algorithms forCognitive Radio", IEEE Transactions on Communications, vol. 57, no. 6, June 2009, pp. 1784-1793.
[19]Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli, "Cooperative Sensing for PrimaryDetection in Cognitive Radio", IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 1, February 2008, pp. 18-27.
[20]Zhi Quan, Shuguang Cui,Ali H. Sayed, "Wideband Spectrum Sensing in Cognitive Radio Networks", IEEE International Conference on Communications, 2008, pp. 901-906.
[21]Woongsup Lee, Dong-Ho Cho, "New Cooperation-Based Channel State Acquisition Scheme for Ad Hoc Cognitive Radio Systems", IEEE Transactions on Vehicular Technology, vol. 62, no. 7, September 2013, pp. 3325-3338.