Abstract
Spectrum sensing is one of the most important technologies in cognitive radio communication system. Considered the different characteristics of spectrum sensing algorithms and the computational complexity of the implementation in reality, we propose a method to process the sample signals with parallel architecture for spectrum sensing based on statistical covariance matrix. Through reasonable data grouping without affecting the performance of detection, it can take advantage of parallel computing in hardware to spectrum sensing rapidly and real-time. This parallel structure plays a great application values to reduce the complexity when implementation. This implementation method has been applied in the test bed of cognitive radio communication system which worked on the spectrum from 694MHz to 806MHz. Finally, the verification of this method has been done on the demo system based on DVB-T signal.
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References
Brodersen, R.W., et al.: CORVUS: A Cognitive Radio Approach for Usage of Virtual no licensed Spectrum. White Paper, Dept of electrical Engineering and Computer Science University of Berkeley (July 2004)
Haykin, S.: Cognitive Radio: Brain Empowered Wireless Communication. IEEE Journal on Selected Areas in Communication 23(2), 201–220 (2005)
Zeng, Y., Liang, Y.-C.: Covariance Based Signal Detections for Cognitive Radio. In: Proc. IEEE in Dynamic Spectrum Access Networks, pp. 202–207 (2007)
Zeng, Y., Liang, Y.: Spectrum sensing algorithms for cognitive radio based on statistical covariances. IEEE Transactions on Vehicular Technology 58(4), 1804–1815 (2009)
Zeng, Y., Koh, C.L., Liang, Y.-C.: Maximum Eigenvalue Detection: Theory and Application. In: IEEE International Conference on Communications, pp. 4160–4164 (2008)
Zeng, Y., Liang, Y.-C.: Eigenvalue-based spectrum sensing algorithms for cognitive radio. IEEE Transactions on Communications 57(6), 1784–1793 (2009)
ETSI EN 300 744: Digital Video Broadcasting(DVB):Framing structure, channel coding and modulation for digital terrestrial television
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Li, H., Chen, Y., Wang, Y., Li, S. (2012). Parallel Architecture Implementation of Spectrum Sensing Based on Covariance in Cognitive Radio. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_95
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DOI: https://doi.org/10.1007/978-3-642-27552-4_95
Publisher Name: Springer, Berlin, Heidelberg
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