DocumentCode :
1802417
Title :
Maximum likelihood PSK classification using the DFT of phase histogram
Author :
Sapiano, P.C. ; Martin, J.D.
Author_Institution :
Bath Univ., UK
Volume :
2
fYear :
1995
fDate :
14-16 Nov 1995
Firstpage :
1029
Abstract :
A method is presented for the classification of multilevel PSK signals which uses a maximum likelihood function on the DFT of phase histogram. An expression for this likelihood function is derived, which results in a simple function involving modified Bessel functions. The method has been evaluated for the classification of CW-8PSK and BPSK/QPSK and the error performance is comparable to or better than other methods used for comparison. However the method performs well in terms of computational complexity, which makes it attractive for the classification of PSK signals
Keywords :
Bessel functions; computational complexity; differential phase shift keying; discrete Fourier transforms; error statistics; maximum likelihood estimation; phase estimation; signal sampling; BPSK/QPSK; CW-8PSK; DFT; computational complexity; error performance; maximum likelihood PSK classification; maximum likelihood function; modified Bessel functions; multilevel PSK signals classification; phase histogram; Analysis of variance; Binary phase shift keying; Computational complexity; Frequency; Histograms; Maximum likelihood estimation; Phase shift keying; Quadrature phase shift keying; Signal analysis; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 1995. GLOBECOM '95., IEEE
Print_ISBN :
0-7803-2509-5
Type :
conf
DOI :
10.1109/GLOCOM.1995.502561
Filename :
502561
Link To Document :
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