Cyclostationarity-Based Detection of Randomly Arriving or Departing Signals

 

Y. Lee¹, S. R. Lee², S. Yoo³, H. Liu⁴ and S. Yoon*⁵

 

¹ Samsung Electronics, Suwon, Korea.

² Department of Information and Electronics Engineering, Mokpo National University, Muan, Korea.

³ Department of Electronics Engineering, Konkuk University, Seoul, Korea.

⁴ School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USA.

⁵ College of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea. *syoon@skku.edu

 

Abstract

This paper addresses the problem of detection of randomly arriving or departing primary user (PU) signals in cognitive radio systems. The detection problem of the dynamic PU signal is modeled as a binary hypothesis testing problem where the PU signal might randomly depart or arrive during the sensing period. Then, we detect the cyclostationarity of the PU signal using a test statistic derived from the spectral autocoherence function in dynamic PU signal environments. Numerical results show that the proposed scheme offers an improved spectrum sensing performance than the conventional energy detector for dynamic PU environments.

Keywords: Spectrum sensing, CR, cyclostationarity, dynamic primary user signals.

 

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Acknowledgments

This research was supported by the National Research Foundation (NRF) of Korea under Grant 2014R1A5A1011478 and by the Convergence Information Technology Research Center (C-ITRC) support program supervised by the National IT Industry Promotion Agency (NIPA) under Grant NIPA-2014-H0401-14-1009 with funding from the Ministry of Science, ICT and Future Planning (MSIP), Korea, and by Priority Research Centers Program through the NRF of Korea under Grant 2009-0093828 with funding from the Ministry of Education, Science and Technology.

 

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