Identification of PSK signals

Author

Sapiano, P.C. ; Martin, J.D.

Author_Institution

Bath Univ., UK

fYear

1995

fDate

26-27 Sep 1995

Firstpage

Lastpage

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;

fLanguage

English

Publisher

iet

Conference_Titel

Radio Receivers and Associated Systems, 1995., Sixth International Conference on

Conference_Location

Bath

Print_ISBN

0-85296-643-1

Type

conf

DOI

10.1049/cp:19951125

Filename

533439

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2408528