Automatic modulation classification using polynomial classifiers

In this paper, a new automatic modulation classification system using a polynomial classifier is proposed. The feature set used in the proposed system is comprised of second, fourth and sixth higher order cumulants of the received signal. The polynomial classifier expands the feature vector into a higher dimensional space in which the different modulation types are linearly separable. The performance of the proposed system is tested against BPSK, QPSK, 8-PSK, 16-QAM and 64-QAM constellations. Results showed a relatively higher classification rate for all types of modulations compared to previously published results using fourth and sixth order cumulants with other classification schemes. Moreover, the proposed classification scheme has low computational complexity and is more suited for real time applications.

[1]  Lan-Xun Wang,et al.  Recognition of digital modulation signals based on high order cumulants and support vector machines , 2009, 2009 ISECS International Colloquium on Computing, Communication, Control, and Management.

[2]  Yanling Li,et al.  Modulation Classification of MQAM Signals from Their Constellation Using Clustering , 2010, 2010 Second International Conference on Communication Software and Networks.

[3]  Brian M. Sadler,et al.  Hierarchical digital modulation classification using cumulants , 2000, IEEE Trans. Commun..

[4]  Khaled Assaleh,et al.  Feature modeling using polynomial classifiers and stepwise regression , 2010, Neurocomputing.

[5]  Mohamed G. El-Tarhuni,et al.  Comparison of linear and polynomial classifiers for co-operative cognitive radio networks , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[6]  M.R. Mirarab,et al.  Robust modulation classification for PSK /QAM/ASK using higher-order cumulants , 2007, 2007 6th International Conference on Information, Communications & Signal Processing.

[7]  S. A. Alshebeili,et al.  An overview of feature-based methods for digital modulation classification , 2013, 2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA).

[8]  Feng Xiang,et al.  A Hierarchical Digital Modulation Classification Algorithm for Adaptive Wireless Communication Systems , 2006 .

[9]  Jiadong Xu,et al.  A Novel Modulation Classification Method Based on High Order Cumulants , 2006, 2006 International Conference on Wireless Communications, Networking and Mobile Computing.

[10]  Andrea J. Goldsmith,et al.  Adaptive coded modulation for fading channels , 1998, IEEE Trans. Commun..

[11]  William M. Campbell,et al.  Speaker recognition with polynomial classifiers , 2002, IEEE Trans. Speech Audio Process..

[12]  Wilfried Gappmair,et al.  Modulation classifier for signals used in satellite communications , 2010, 2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop.

[13]  Hasan Al-Nashash,et al.  A novel technique for the extraction of fetal ECG using polynomial networks , 2005, IEEE Transactions on Biomedical Engineering.

[14]  Gene H. Golub,et al.  Matrix computations , 1983 .

[15]  M. Madheswaran,et al.  Automatic Modulation Identification of QPSK and GMSK using Wavelet Transform for Adaptive Demodulator in SDR , 2007, 2007 International Conference on Signal Processing, Communications and Networking.

[16]  Octavia A. Dobre,et al.  On the likelihood-based approach to modulation classification , 2009, IEEE Transactions on Wireless Communications.

[17]  Y. Bar-Ness,et al.  Higher-order cyclic cumulants for high order modulation classification , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

[18]  David Kubanek,et al.  Algorithms of digital modulation classification and their verification , 2010 .

[19]  Asoke K. Nandi,et al.  Automatic digital modulation classification using Genetic Programming with K-Nearest Neighbor , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

[20]  M. L. Dukic,et al.  Automatic modulation classification: Sixth-order cumulant features as a solution for real-world challenges , 2012, 2012 20th Telecommunications Forum (TELFOR).

[21]  Ali Abdi,et al.  Survey of automatic modulation classification techniques: classical approaches and new trends , 2007, IET Commun..

[22]  V. Reddy,et al.  Blind modulation classification in the presence of carrier frequency offset , 2010, 2010 International Conference on Signal Processing and Communications (SPCOM).