DocumentCode
294891
Title
Classification of PSK signals using the DFT of phase histogram
Author
Sapiano, P.C. ; Martin, J.D. ; Holbeche, R.J.
Author_Institution
Sch. of Electron. Eng., Bath Univ., UK
Volume
3
fYear
1995
fDate
9-12 May 1995
Firstpage
1868
Abstract
A method is presented for classifying multi-level PSK signals in the presence of additive white Gaussian noise (AGWN). The technique is based on the Discrete Fourier Transform (DFT) of a phase histogram. The probability of correct classification is given and it is found that the technique performs well at low SNR. The benefits of this technique are that it is simple to implement and requires no prior knowledge of the SNR of the signal for the classification
Keywords
Gaussian noise; discrete Fourier transforms; phase shift keying; signal processing; white noise; AGWN; DFT; PSK signals classification; additive white Gaussian noise; correct classification probability; discrete Fourier transform; low SNR; multilevel PSK signals; phase histogram; Additive white noise; Discrete Fourier transforms; Fourier series; Histograms; Pattern recognition; Phase shift keying; Radio spectrum management; Signal to noise ratio; Sorting; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.480189
Filename
480189
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