Correlation Coefficient Based DVB-T Continual Pilot Detection to Identify Spectrum Hole for CR Application

Authors

  • Mohammad Mizanur RAHMAN Electronics and Communication Engineering Discipline, Khulna University, Khulna
  • Chalie CHAROENLARPNOPPARUT Electronics and Communication Engineering, Sirindhorn International Institute of Technology, Thammasat University, Bangkadi, Pathum Thani 12120
  • Prapun SUKSOMPONG Electronics and Communication Engineering, Sirindhorn International Institute of Technology, Thammasat University, Bangkadi, Pathum Thani 12120
  • Attaphongse TAPARUGSSANAGORN Wireless Information Security and Eco-Electronic Research Unit, National Electronics and Computer Technology Center, Thailand Science Park, Pathum Thani 12120

Keywords:

Cognitive radio, continual pilot, correlation coefficient, DVB-T, spectrum sensing

Abstract

Digital terrestrial television (DTV) covers an area with radius as large as 60 km. Federal Communications Commission (FCC) and Office of Communications (Ofcom) suggests detection of DTV signal at signal strength of as low as -114 dBm and -120 dBm respectively. Thus, detection of DTV signals in low signal-to-noise ratio (SNR) is vital. Continual pilot (CP) positions in all the DTV signals are fixed. Digital Video Broadcasting Terrestrial (DVB-T), a DTV standard, is followed by most of the countries of the world. In this paper we propose a correlation based CP detection which can detect a DVB-T signal at low SNR. One CP carrier was generated at the receiver which was correlated with the received orthogonal frequency division multiplexing (OFDM) signal sequence. The correlation coefficient was then compared with a threshold correlation coefficient to identify the existence of the CP to detect the presence of a DVB-T signal and thereby spectrum hole. It was found from the simulation study for additive white Gaussian noise (AWGN) channel that signal detection at low SNR is possible compared to the time domain symbol cross-correlation (TDSC) method.

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Author Biographies

Mohammad Mizanur RAHMAN, Electronics and Communication Engineering Discipline, Khulna University, Khulna

Doctoral student at Electronics and Communication Engineering, School of Information, Computer, and Communication Technology and

Faculty member at Electronics and Communication Engineering Discipline, Science, Engineering and Technology School.

Chalie CHAROENLARPNOPPARUT, Electronics and Communication Engineering, Sirindhorn International Institute of Technology, Thammasat University, Bangkadi, Pathum Thani 12120

Associate Professor, Electronics and Communication Engineering, School of Information, Computer, and Communication Technology

Prapun SUKSOMPONG, Electronics and Communication Engineering, Sirindhorn International Institute of Technology, Thammasat University, Bangkadi, Pathum Thani 12120

Associate Professor, Electronics and Communication Engineering, School of Information, Computer, and Communication Technology

Attaphongse TAPARUGSSANAGORN, Wireless Information Security and Eco-Electronic Research Unit, National Electronics and Computer Technology Center, Thailand Science Park, Pathum Thani 12120

Wireless Information Security and Eco-Electronic Research Unit (WISRU)

References

Federal Communications Commission. Notice of Proposed Rulemaking FCC04-113: Unlicensed Operation in the TV Broadcast Bands. Washington DC, USA, 2004.

J Mitola and GQ Maguire. Cognitive radio: Making software radios more personal. IEEE Pers. Commun. 1999; 6, 13-8.

H Urkowitz. Energy detection of unknown deterministic signals. Proc. IEEE 1967; 55, 523-31.

FF Digham, MS Alouini and MK Simon. On the energy detection of unknown signals over fading channels. IEEE Trans. Commun. 2007; 55, 21-4.

D Cabric, A Tkachenko and RW Brodersen. Spectrum sensing measurements of pilot, energy, and collaborative detection. In: Proceedings of the IEEE Military Communications Conference 2006, Washington DC, USA, 2006, p. 1-7.

M Kim, K Po and JI Takada. Performance Enhancement of cyclostationarity detector by utilizing multiple cyclic frequencies of OFDM signals. In: Proceeding of the IEEE Symposium on New Frontiers in Dynamic Spectrum, Singapore, 2010, p. 1-8.

Z Yonghong and L Ying-Chang, Eigenvalue-based spectrum sensing algorithms for cognitive radio. IEEE Trans. Commun. 2009; 57, 1784-93.

S Pattanayak, R Nandi and P Venkateswaran. Identification of spectrum holes using ANN model in TV bands with AWGN. In: Proceedings of the IEEE Asia Pacific Conference on Wireless and Mobile 2014, Bali, Indonesia, 2014, p. 188-93.

D Chen, J Li and J Ma. In-band sensing without quiet period in cognitive radio. In: Proceedings of the IEEE Wireless Communications and Networking Conference 2008, Las Vegas, USA, 2008, p. 723-8.

DG Jeong, SS Jeong and WS Jeon. Channel sensing without quiet period for cognitive radio systems: A pilot cancellation approach. EURASIP J. Wirel. Commun. Network. 2011; 2011, 650619.

S Moshavi, D Yellin, JS Sadowsky, Y Perets and K Pick. Pilot interference cancellation technology for CDMA cellular networks. IEEE Trans. Veh. Tech. 2005; 54, 1781-92.

HW Chen, X Wang, CL Wang and H Lin. Spectrum sensing of unsynchronized OFDM signals for cognitive radio communications. In: Proceedings of IEEE 70th Vehicular Technology Conference Fall, Anchorage, USA, 2009, p. 1-5.

XD Yang, YH Song, TJ Owens, J Cosmas and T Itagaki. Performance analysis of the OFDM scheme in DVB-T. In: Proceedings of the IEEE 6th Circuits and Systems Symposium on Emerging Technologies: Frontiers of Mobile and Wireless Communication, Shanghai, China, 2004, p. 489-92.

D Tian, L Zheng, J Wang and L Zhao. A new spectrum sensing method for OFDM-based cognitive radios. In: Proceedings of the IEEE 2nd International Conference on Consumer Electronics, Communications and Networks, Yichang, China, 2012, p. 812-5.

R Mo, SW Oh and B Wang. Spectrum sensing for DVB-T signals employing pilot tones. In: Proceedings of the IEEE Vehicular Technology Conference, Quebec City, Canada, 2012, p. 1-5.

HW Cho, Y Lee, SG Kang, D Chong, M Lee, C Song and S Yoon. A novel spectrum sensing scheme based on periodicity of DVB-T pilot signals. World Acad. Sci. Eng. Tech. 2010; 4, 580-4.

HS Chen, W Gao and DG Daut. Spectrum sensing for OFDM systems employing pilot tones and application to DVB-T OFDM. In: Proceedings of the IEEE International Conference on Communications, Beijing, China, 2008, p. 3421-6.

ETSI EN 300 744. Digital Video Broadcasting (DVB); Framing Structure, Channel Coding and Modulation for Digital Terrestrial Television. European Telecommunications Standards Institute, Valbonne, France, 2009.

U Reimers. Digital Video Broadcasting (DVB): The International Standard for Digital Television. 1st ed. Springer-Verlag Berlin Heidelberg, New York, 2001, p. 335-8.

Wolfram MathWorld, Available at: http://mathworld.wolfram.com/CorrelationCoefficientBivariate NormalDistribution.html, accessed February 2015.

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Published

2015-06-24

How to Cite

RAHMAN, M. M., CHAROENLARPNOPPARUT, C., SUKSOMPONG, P., & TAPARUGSSANAGORN, A. (2015). Correlation Coefficient Based DVB-T Continual Pilot Detection to Identify Spectrum Hole for CR Application. Walailak Journal of Science and Technology (WJST), 13(6), 479–490. Retrieved from https://wjst.wu.ac.th/index.php/wjst/article/view/1568

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Research Article