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Frontiers of Electrical and Electronic Engineering

ISSN 2095-2732

ISSN 2095-2740(Online)

CN 10-1028/TM

Front Elect Electr Eng Chin    2011, Vol. 6 Issue (4) : 501-506    https://doi.org/10.1007/s11460-011-0180-9
RESEARCH ARTICLE
A design of multi-cycle detector for cognitive radios
Jun WANG(), Guangguo BI
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
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Abstract

Cognitive radio (CR) is a promising technology. The most fundamental problem of CR is spectrum sensing. Energy detector is often considered for spectrum sensing in CR, and if the noise power is exactly known, energy detector has admirable performance. However, in practice, noise power is always inexactly known. To solve this problem, Dandawate [Dandawate et al. IEEE Transactions on Signal Processing, 1994, 42(9): 2355–2369] has proposed a nonparametric single-cycle detector based on cyclostationarity, which is robust to noise uncertainty. In this paper, based on Dandawate’s single-cycle detector, a joint multi-cycle detector is further proposed, which is also nonparametric and immune from noise uncertainty. Simulation results have shown the validity and superiority over single-cycle detector of the proposed detector.

Keywords cognitive radio (CR)      cyclostationarity      noise uncertainty      spectrum sensing     
Corresponding Author(s): WANG Jun,Email:wangjun_online@hotmail.com   
Issue Date: 05 December 2011
 Cite this article:   
Jun WANG,Guangguo BI. A design of multi-cycle detector for cognitive radios[J]. Front Elect Electr Eng Chin, 2011, 6(4): 501-506.
 URL:  
https://academic.hep.com.cn/fee/EN/10.1007/s11460-011-0180-9
https://academic.hep.com.cn/fee/EN/Y2011/V6/I4/501
Fig.1  CAF of an OFDM signal
Fig.2  Comparison between single-cycle detector and joint multi-cycle detector, = [0], = 0.05, and SNR= -10 dB
Fig.3  ROC curves of a joint multi-cycle detector and an energy detector with different noise uncertainties, = [0], SNR= -10 dB, and = 4000
Fig.4  SNR versus detection probability curves of different multi-cycle detectors and energy detector with different noise uncertainties, = [0], = 0.05, and = 4000
1 Yucek T, Arslan H. A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys & Tutorials, 2009, 11(1): 116-130
2 Haykin S, Thomson D J, Reed J H. Spectrum sensing for cognitive radio. Proceedings of the IEEE , 2009, 97(5): 849-877
doi: 10.1109/JPROC.2009.2015711
3 Rawat D B, Yan G. Signal processing techniques for spectrum sensing in cognitive radio systems: Challenges and perspectives. In: Proceedings of the First Asian Himalayas International Conference on Internet . 2009, 1-5
4 Tandra R, Sahai A.SNR walls for signal detection. IEEE Journal of Selected Topics in Signal Processing , 2008, 2(1): 4-17
5 Shellhammer S, Tandra R.Performance of the power detector with noise uncertainty. IEEE Std. 802.22–06/0134r0 , 2006
6 Dandawate A V, Giannakis G B. Statistical tests for presence of cyclostationarity. IEEE Transactions on Signal Processing , 1994, 42(9): 2355-2369
doi: 10.1109/78.317857
7 Lundén J, Koivunen V, Huttunen A, Poor H V. Spectrum sensing in cognitive radios based on multiple cyclic frequencies. In: Proceedings of the 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications . 2007, 37-43
8 Sadler B M, Dandawate A V. Nonparametric estimation of the cyclic cross spectrum. IEEE Transactions on Information Theory , 1998, 44(1): 351-358
doi: 10.1109/18.651065
9 Kay S M. Fundamentals of Statistical Signal Processing: Estimation Theory. New York: Prentice Hall PTR, 1993
10 Anderson T W. An Introduction to Multivariate Statistical Analysis. 3rd ed. New Jersey: John Wiley & Sons, 2003
11 Sutton P D, Nolan K E, Doyle L E. Cyclostationary signatures in practical cognitive radio applications. IEEE Journal on Selected Areas in Communications , 2008, 26(1): 13-24
doi: 10.1109/JSAC.2008.080103
12 Harada H, Maeda K, Furuno T, Miura S, Ohya T. Performance evaluation of overhead reduction method for cyclostationarity-inducing transmission. In: Proceedings of the 71st IEEE Vehicular Technology Conference . 2010, 1-5
[1] Haijun WANG, Xin SU, Yi XU, Shidong ZHOU, Jing WANG. Optimal cooperative energy spectrum sensing in cognitive radio network[J]. Front Elect Electr Eng Chin, 2010, 5(4): 449-455.
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