Automatic modulation classification based on high order cumulants and hierarchical polynomial classifiers

Physical Communication

Volumn 21, Issue , 2016, Pages 10-18

  Abdelmutalab, Ameen ^a   Assaleh, Khaled ^a   El Tarhuni, Mohamed ^a  

^a AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

Author keywords

Adaptive modulation; Hierarchical polynomial classifiers; High order cumulants; Modulation classification

Indexed keywords

ADAPTIVE MODULATION; BINS; GAUSSIAN NOISE (ELECTRONIC); GENETIC ALGORITHMS; GENETIC PROGRAMMING; POLYNOMIALS; SIGNAL TO NOISE RATIO; SUPPORT VECTOR MACHINES; WHITE NOISE;

ADDITIVE WHITE GAUSSIAN NOISE; AUTOMATIC MODULATION CLASSIFICATION; FLAT FADING ENVIRONMENT; HIGH ORDER CUMULANTS; HIGHER ORDER CUMULANTS; MODULATION CLASSIFICATION; POLYNOMIAL CLASSIFIER; PROBABILITY OF CORRECT CLASSIFICATIONS;

MODULATION;

EID: 84988019200     PISSN: 18744907     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.phycom.2016.08.001     Document Type: Article

References (36)

1. [1] V. Orlic, M. Dukic, Algorithm for automatic modulation classification in multipath channel based on sixth-order cumulants, in: 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services, TELSIKS’09, 2009, pp. 423–426.
2. [2] C. Yin, B. Li, Y. Li, B. Lan, Modulation classification of MQAM signals based on density spectrum of the constellations, in: 2nd International Conference on Future Computer and Communication, ICFCC, Vol. 3, 2010, pp. V3–57–V3–61.
3. [3] Aslam, M., Zhu, Z., Nandi, A., Automatic modulation classification using combination of Genetic Programming and KNN. IEEE Trans. Wireless Commun. 11:8 (2012), 2742–2750.
4. [4] Häring, L., Chen, Y., Czylwik, A., Automatic modulation classification methods for wireless OFDM systems in TDD mode. IEEE Trans. Commun. 58:9 (2010), 2480–2485.
5. [5] L. Liu, J. Xu, A novel modulation classification method based on high order cumulants, in: International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM, 2006, pp. 1–5.
6. [6] B. Ramkumar, Automatic modulation classification and blind equalization for cognitive radios (Ph.D. thesis), Virginia Polytechnic Institute and State University, Virginia.
7. [7] Hameed, F., Dobre, O., Popescu, D., On the likelihood-based approach to modulation classification. IEEE Trans. Wireless Commun. 8:12 (2009), 5884–5892.
8. [8] Dobre, O., Abdi, A., Bar-Ness, Y., Su, W., Survey of automatic modulation classification techniques: classical approaches and new trends. IET Commun. 1:2 (2007), 137–156.
9. [9] Wang, F., Wang, X., Fast and robust modulation classification via Kolmogorov-Smirnov test. IEEE Trans. Commun. 58:8 (2010), 2324–2332.
10. [10] A. Hazza, M. Shoaib, S. Alshebeili, A. Fahad, An overview of feature-based methods for digital modulation classification, in: 1st International Conference on Communications, Signal Processing, and their Applications, ICCSPA, 2013, pp. 1–6.
11. [11] K. Assaleh, K. Farrell, R. Mammone, A new method of modulation classification for digitally modulated signals, in: IEEE Military Communications Conference, MILCOM’92, Vol. 2, 1992, pp. 712–716.
12. [12] W. Dan, G. Xuemai, G. Qing, A new scheme of automatic modulation classification using wavelet and wsvm, in: 2nd International Conference on Mobile Technology, Applications and Systems, 2005, p. 5.
13. [13] F. Xie, C. Li, G. Wan, An efficient and simple method of MPSK modulation classification, in: 4th International Conference on Wireless Communications, Networking and Mobile Computing WiCOM’08, 2008, pp. 1–3.
14. [14] Swami, A., Sadler, B., Hierarchical digital modulation classification using cumulants. IEEE Trans. Commun. 48:3 (2000), 416–429.
15. [15] Y. Han, G. Wei, C. Song, L. Lai, Hierarchical digital modulation recognition based on higher-order cumulants, in: 2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC, 2012, pp. 1645–1648. http://dx.doi.org/10.1109/IMCCC.2012.398.
16. [16] O. Dobre, Y. Bar-Ness, W. Su, Higher-order cyclic cumulants for high order modulation classification, in: Military Communications Conference, MILCOM, Vol. 1, 2003, pp. 112–117.
17. [17] Su, W., Feature space analysis of modulation classification using very high-order statistics. IEEE Commun. Lett. 17:9 (2013), 1688–1691.
18. [18] C. Zhendong, J. Weining, X. Changbo, L. Min, Modulation recognition based on constellation diagram for M-QAM signals, in: 11th IEEE International Conference on Electronic Measurement Instruments, ICEMI, Vol. 1, 2013, pp. 70–74.
19. [19] J. Popoola, R. Van Olst, Automatic classification of combined analog and digital modulation schemes using feedforward neural network, in: AFRICON, 2011, pp. 1–6.
20. [20] M. Valipour, M. Homayounpour, M. Mehralian, Automatic digital modulation recognition in presence of noise using SVM and PSO, in: Sixth International Symposium on Telecommunications, IST, 2012, pp. 378–382.
21. [21] A. Abdelmutalab, K. Assaleh, M. El-Tarhuni, Automatic modulation classification using polynomial classifiers, in: 25th IEEE International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC, 2014, pp. 785–789.
22. [22] M. Mirarab, M. Sobhani, Robust modulation classification for PSK /QAM/ASK using higher-order cumulants, in: 6th International Conference on Information, Communications Signal Processing, 2007, pp. 1–4.
23. [23] M. Wong, S.K. Ting, A. Nandi, Naïve Bayes classification of adaptive broadband wireless modulation schemes with higher order cumulants, in: 2nd International Conference on Signal Processing and Communication Systems, ICSPCS, 2008, pp. 1–5.
24. [24] M. Aslam, Z. Zhu, A. Nandi, Automatic digital modulation classification using Genetic Programming with K-Nearest Neighbor, in: Military Communications Conference, MILCOM, 2010, pp. 1731–1736.
25. [25] N. Ahmadi, R. Berangi, Modulation classification of QAM and PSK from their constellation using genetic algorithm and hierarchical clustering, in: 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA, 2008, pp. 1–5.
26. [26] Wu, H.-C., Saquib, M., Yun, Z., Novel automatic modulation classification using cumulant features for communications via multipath channels. IEEE Trans. Wireless Commun. 7:8 (2008), 3098–3105.
27. [27] Su, W., Modulation classification of single-input multiple-output signals using asynchronous sensors. IEEE Sens. J. 15:1 (2015), 346–357.
28. [28] Geisinger, N.P., Classification of digital modulation schemes using linear and nonlinear classifiers. (Master's thesis), 2010, Naval Postgraduate School, California.
29. [29] Borwein, P., Erdelyi, T., Polynomials and Polynomial Inequalities. 1995, Springer.
30. [30] Campbell, W., Assaleh, K., Broun, C., Speaker recognition with polynomial classifiers. IEEE Trans. Speech Audio Process. 10:4 (2002), 205–212.
31. [31] Y. Hassan, M. El-Tarhuni, K. Assaleh, Comparison of linear and polynomial classifiers for co-operative cognitive radio networks, in: 21st IEEE International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC, 2010, pp. 797–802.
32. [32] Assaleh, K., Al-Nashash, H., A novel technique for the extraction of fetal ECG using polynomial networks. IEEE Trans. Biomed. Eng. 52:6 (2005), 1148–1152.
33. [33] Shanableh, T., Assaleh, K., Feature modeling using polynomial classifiers and stepwise regression. Neurocomputing 73:10–12 (2010), 1752–1759.
34. [34] V. Orlic, M. Dukic, Automatic modulation classification: Sixth-order cumulant features as a solution for real-world challenges, in: 20th Telecommunications Forum, TELFOR, 2012, pp. 392–399.
35. [35] Abdelmutalab, A., Learning-based automatic modulation classification. (Master's thesis), 2015, American University of Sharjah.
36. [36] Aslam, M., Pattern recognition using genetic programming for classification of diabetes and modulation data. (Ph.D. thesis), 2013, the University of Liverpool, Liverpool.