Classification of linear and nonlinear modulations using the Baum-Welch algorithm

European Signal Processing Conference

Volumn , Issue , 2008, Pages

  Puengnim, Anchalee ^a   Thomas, Nathalie ^b   Tourneret, Jean Yves ^b   Vidal, Josep ^c  

^a TéSA ^*  (France)

^b UNIVERSITÉ DE TOULOUSE   (France)

^c UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE WHITE GAUSSIAN NOISE; BAUM-WELCH ALGORITHMS; BAYES DECISION RULES; BAYESIAN CLASSIFIER; COMMUNICATION SIGNALS; GMSK MODULATION; MODEL PARAMETERS; MODULATION RECOGNITION; MODULATION SCHEMES; NEW MODULATION; NEW SATELLITES; NONLINEAR MODULATION; POSTERIOR PROBABILITY; RECEIVED SIGNALS; SPACE SYSTEM;

ALGORITHMS; GAUSSIAN NOISE (ELECTRONIC); QUADRATURE PHASE SHIFT KEYING; SATELLITE LINKS;

MODULATION;

EID: 84889900217     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Consulative Committee for Space Data Systems (CCSDS), Radio Frequency and Modulation Systems. CCSDS, 2001, no. 401.
2. A. Swami and B. Sadler, "Hierarchical digital modulation classification using cumulants," IEEE Trans. Comm., vol. 48, no. 3, pp. 416-429, March 2000.
3. O. A. Dobre, A. Abdi, Y. Bar-Ness, and W. Su, "Survey of automatic modulation classification techniques: classical approaches and new trends," IET Communications, vol. 1, no. 2, pp. 137-156, April 2007.
4. C. Y. Huang and A. Polydoros, "Two small snr classification rules for cpm," Proc. IEEE Milcom, vol. 3, pp. 1236-1240, October 1992.
5. C. D. Chung and A. Polydoros, "Envelope based classification schemes for continuous phase binary frequency shift keyed modulation," in Proc. IEEE Milcom, Fort Monmouth, NJ, Oct. 1994, pp. 796-800.
6. A. Puengnim, N. Thomas, J. Tourneret, and H. Guillon, "Classification of GMSK signals with different bandwidths," in Proc. IEEE Int. Conf. Acoust., Speech and Signal Process. (ICASSP), Las Vegas, USA, April 2008, pp. 2013-2016.
7. J. G. Proakis, Digital Communications. Mc Graw Hill, 2001.
8. L. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-286, 1989.
9. J. A. R. Fonollosa and J. Vidal, "Application of hidden markov models to blind channel characterization and data detection," in Proc. IEEE Int. Conf. Acoust., Speech and Signal Process. (ICASSP), vol. 4, Adelaide, Australia, April 1994, pp. 185-188.
10. V. Krishnamurthy and J.Moore, "On-line estimation of hidden markov model parameters based on the kullback-leibler information measure," IEEE Trans. Signal Process., vol. 41, no. 11, pp. 2557-2573, 1993.
11. A. Puengnim, T. Robert, N. Thomas, and J. Vidal, "Hidden Markov models for digital modulation classification in unknown ISI channels," in Proc. European Sig. Proc. Conf. (EUSIPCO), Poznan, Poland, September 2007, pp. 1882-1885.
12. A. K. Jain, R. P.W. Duin, and J. Mao, "Statistical pattern recognition: a review," IEEE Trans. Patt. Anal. Mach. Intell., vol. 22, no. 1, pp. 4-37, 2000.