Title :
Identification of PSK signals
Author :
Sapiano, P.C. ; Martin, J.D.
Author_Institution :
Bath Univ., UK
Abstract :
PSK signals may be identified using decision theoretic techniques. The paper compares the performance of the optimum, the statistical moments, the DFT and the maximum likelihood DFT classifiers. The robustness of each classifier is examined for the effects of symbol imbalance due to a finite signal time frame, error in the SNR estimate, channel filtering and phase error. Simulation results are presented in terms of the SNR at which 1% misclassification probability occurs, in order to provide a comparison between the techniques
Keywords :
decision theory; discrete Fourier transforms; error statistics; filtering theory; interference (signal); maximum likelihood estimation; pattern classification; phase shift keying; probability; signal processing; DFT; PSK signals; SNR estimate; channel filtering; decision theoretic techniques; finite signal time frame; maximum likelihood DFT; misclassification probability; optimum classifiers; performance; phase error; robustness; statistical moment classifier; symbol imbalance;
Conference_Titel :
Radio Receivers and Associated Systems, 1995., Sixth International Conference on
Conference_Location :
Bath
Print_ISBN :
0-85296-643-1
DOI :
10.1049/cp:19951125
