Paper Info
Title
Parametric spectral analysis of multiple nonlinear chirps using evolutionary algorithms.
Abstract
This paper describes a new parametric method of spectral analysis of complex signals which may contain multiple, overlapping, non-linear and linear chirps. The method parameterizes the time variation of the chirp frequencies and also provides an estimate of the phase and relative amplitudes of each chirp. The method exploits time windowing of the received signal and uses an Evolutionary Algorithm to optimize the estimated parameters. The new method works well in high levels of noise corresponding to SNRs of -7dB.
Year
DOI
Venue
2003
10.1109/ISSPA.2003.1224660
SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 1, PROCEEDINGS
Keywords
Field
DocType
signal analysis,parameter estimation,chirp,time frequency analysis,evolutionary computation,evolutionary algorithm,snr
Signal processing,Nonlinear system,Pattern recognition,Evolutionary algorithm,Computer science,Evolutionary computation,Parametric statistics,Chirp,Artificial intelligence,Time–frequency analysis,Estimation theory
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Jasdeep S. Dhanoa151.19
Evan J. Hughes219815.51
Richard F. Ormondroyd3143.49