A phase estimator for complex signals using evolutionary algorithms

Author

Dhanoa, Jasdeep S. ; Hughes, Evan J. ; Ormondroyd, Richard F.

Author_Institution

Dept. of Aerosp., Cranfield Univ., Shrivenham, UK

fYear

2003

fDate

29-31 July 2003

Firstpage

20

Lastpage

25

Abstract

This paper presents a new method of phase estimation that is based on evolutionary algorithms. Unlike traditional phase estimators, this method does not require detailed a priori knowledge of the signal. The estimator operates by generating a model of the signal and optimising the model parameters including phase, to provide the best match in the frequency domain. The results show that the estimation process is capable of providing a good phase estimate of the signal, even in significant noise and for a wide range of waveforms.

Keywords

evolutionary computation; optimisation; phase estimation; signal processing; complex signals; evolutionary algorithms; frequency domain; model parameters optimisation; phase estimator; signal model; significant noise; Chirp; Degradation; Evolutionary computation; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; Noise level; Parameter estimation; Phase estimation; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Measurement Systems and Applications, 2003. CIMSA '03. 2003 IEEE International Symposium on

Print_ISBN

0-7803-7783-4

Type

conf

DOI

10.1109/CIMSA.2003.1227195

Filename

1227195