A Novel Algorithm for MFSK Signal Classification

Abstract:

A new classification algorithm of M-ary FSK signals based on the extraction of signals features is presented in this paper. The implementation of the methodology does not require any apriori information. By extracting some basic features of intermediate frequency signals both in time domain and frequency domain, the classification of M-ary FSK signals is achieved. Simulation result shows that the proposed algorithm can classify 2FSK, 4FSK and 8FSK signals effectively under AWGN and and still keeps a good performance even at low input SNR.

• Periodical: Applied Mechanics and Materials (Volumes 446-447)
• Pages: 1022-1027
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.446-447.1022
• Online since: November 2013
• Authors: Juan Fei Xu, Fu Ping Wang, Zan Ji Wang
• Keywords: M-Ary FSK, Modulation Classification, Spectral Analysis

References

[1] B. F. Beidas and C. L. Weber, Higher-order correlation-based approach to modulation classification of digitally frequency-modulated signals, IEEE Journal on Selected Aeas in Communications, vol. 13, no. 1, Jan. 1995, pp.89-101.

DOI: 10.1109/49.363142

[2] D. Boiteau and L. Martret, A general maximum likelihood framework for modulation classification, IEEE International Conference on Acoustics，Speech and Signal Processing, vol. 4, May. 1998, pp.2165-2168.

DOI: 10.1109/icassp.1998.681575

[3] A. K. Nandi and E. E. Azzouz, Automatic identification of digital modulation types, IEEE Signal Processing, vol. 47, no. 1, Mar. 1995, pp.55-69.

DOI: 10.1016/0165-1684(95)00099-2

[4] A. K. Nandi and E. E. Azzouz, Algorithms for automatic modulation recognition of communication signals, IEEE Transactions on Communication, vol. 46, no. 4, Apr. 1998, pp.431-436.

DOI: 10.1109/26.664294

[5] Liang Hong and K.C. Ho, Identification of digital modulation types using the wavelet transform, IEEE MILCOM 1999, 1999, p.427–431.

DOI: 10.1109/milcom.1999.822719

[6] Fan Hai-bo, Yang Zhi-jun and Cao Zhi-gang, Automatic recognition for common used modulations in satellite communication, Journal of China Iinstitute of Communications, vol. 25, no. 1, Jan. 2004, pp.140-149.

[7] A. Swami and B. M．Sadler, Hierarchical digital modulation classification using cumulants, IEEE Transactions on Communications, vol. 48, no. 3, Mar. 2000, pp.416-429.

DOI: 10.1109/26.837045

[8] Song Jiao, Ge Lin-dong, Novel Modulation Classification Algorithm Based on High-order Cumulants for FSK Signals, Communications Technology, vol. 41, no. 4, Apr. 2008, pp.4-6.

[9] Zhan Yafeng, Cao Zhigang and Ma Zhengxin, Blind SNR estimates in wireless digital communications, J Tsinghua Univ(Sci&Tech), vol. 43, no. 7, Jul. 2003, p.957－960.