PSK and QAM Classification by Likelihood under Unknown SNR Condition
Author:
Affiliation:
1. Graduate School of Engineering, Osaka City University
Publisher
Research Institute of Signal Processing, Japan
Link
https://www.jstage.jst.go.jp/article/jsp/20/4/20_183/_pdf
Reference7 articles.
1. [1] B. Beidas and C. Weber: Higher-order correlation-based approach to modulation classification of digitally frequency-modulated signals, IEEE J. on Select. Areas Commun., Vol. 13, No. 1, pp. 89-101, 1995.
2. [2] A. Polydoros and K. Kim: On the detection and classification of quadrature digital modulation in broad-band noise, IEEE Trans. Commun., Vol. 38, No. 8, pp. 1199-1211, 1990.
3. [3] L. Hong and K. Ho: BPSK and QPSK modulation classification with unknown signal level, Proc. IEEE Military Communications Conference (MILCOM), Vol. 2, pp. 976-980, Oct. 2000.
4. [4] S. Soliman and S.-Z. Hsue: Signal classification using statistical moments, IEEE Trans. Commun., Vol. 40, No. 5, pp. 908-916, 1992.
5. [5] M. Bakkali, A. Stephenne and S. Affes: Generalized moment-based method for SNR estimation, Proc. IEEE Wireless Communications and Networking Conference (WCNC), pp. 2226-2230, Mar. 2007.
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