Re: modulaion recognition
Good paper
Classification of BPSK and QPSK signals with unknown signal level using the Bayes technique
Liang Hong Ho, K.C.
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA;
This paper appears in: Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Publication Date: 25-28 May 2003
On page(s): IV-1- IV-4 vol.4
Volume: 4, ISSN:
Number of Pages: 5 vol.(ci+1076+962+941+915+840)
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Abstract:
Automatic modulation classification through digital signal processing has found many applications in wireless communication systems, including interference identification, spectrum management and electronic warfare. In practice, wireless communication environments suffer from ill-characterized interference, fading and multipath. As a result, the level of the received signal is always time-varying and not known. This paper studies the use of the Bayes method to distinguish BPSK signal and QPSK signal without a priori knowledge of the received signal level. The maximum a posteriori classifier is derived with Rayleigh distributed signal amplitude. Simulations show that the classifier using the Bayes technique is superior to the classifier without considering the variation of signal level.