Abstract
The new spectrum regulation policies for dynamic spectrum access, especially those concerning the use of the white spaces in the Digital Terrestrial Television (DTT) bands, arise the need for fast and reliable signal identification and classification methods. In this paper we present a two-stage identification method for signals in the white spaces, using combined energy detection and feature detection. The band of interest is divided by means of the Discrete Wavelet Packet Transformation (DWPT) in sub-bands where the signal power is calculated. Modulation classifiers taking into account the statistical parameters of the signal in the wavelet domain are used as features for identifying the modulation schemes, in this case specifically for the DVB-T broadcast standard. As a possible application we are considering an indoor short-range distribution system for video signals.
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References
CEPT ECC Reprot 159 - Technical And Operational Requirements for the Possible Operation of Cognitive Radio Systems in the ‘White Spaces’ of the Frequency Band 470-790 Mhz (October 2010)
Budiarjo, I., Lakshmanan, M.K., Nikookar, H.: Cognitive Radio Dynamic Access Techniques. Wireless Personal Communications 45(3) (May 2008)
Benko, J., Cheong, Y.C., Cordeiro, C., et al.: A PHY/MAC Proposal for IEEE 802.22 WRAN Systems Part 1: The PHY. IEEE 802.22-06/0004r1 (February 2006)
Yue, W., Zheng, B.: A Two-Stage Spectrum Sensing Technique in Cognitive Radio Systems Based on Combining Energy Detection and One-Order Cyclostationary Feature Detection. In: Proceedings of the 2009 International Symposium on Web Information Systems and Applications (WISA 2009), Nanchang, P. R. China, May 22-24, pp. 327–330 (2009)
Maleki, S., Pandharipande, A., Leus, G.: Two-Stage Spectrum Sensing for Cognitive Radios. In: Proceedings of the ICASSP 2010 Conference, Dallas, USA (March 2010)
Fadda, M., Murroni, M., Popescu, V.: Spectrum Sensing in the DVB-T Bands using Combined Energy Detection and Signal Classification in the Wavelet Domain. In: Proceedings of the 13th International Symposium on Wireless Personal Multimedia Communications (WPMC), Recife, Brazil (October 2010); ISBN: 978-85-60307-02-9
Yoon, Y., Leon, H., Lung, H., Lee, H.: Discrete wavelet packet transform based energy detector for cognitive radios. In: IEEE Vehicular Technology 2007, Dublin, Ireland (2007)
Prakasam, P., Madheswaran, M.: M-ary Shift Keying Modulation Scheme Identification Algorithm Using Wavelet Transform and Higher Order Statistical Moments. Journal of Applied Science 8(1), 112–119 (2008)
Linfoot, S.: A Study of Different Wavelets in Orthogonal Wavelet Division Multiplex for DVB-T. IEEE Transactions on Consumer Electronics 54(3) (August 2008)
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Fadda, M., Murroni, M., Popescu, V., Stoianovici, V.C. (2012). TV White Spaces Exploitation for Signal Distribution. In: Atzori, L., Delgado, J., Giusto, D. (eds) Mobile Multimedia Communications. MobiMedia 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30419-4_6
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DOI: https://doi.org/10.1007/978-3-642-30419-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30418-7
Online ISBN: 978-3-642-30419-4
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