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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480189
