Sequential extraction of components of multicomponent PPS signals

Author

Oliveira, Paulo M. ; Barroso, Victor

Author_Institution

Escola Naval-DAEI, Almada, Portugal

Volume

4

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1821

Abstract

A procedure for parameter estimation of multicomponent polynomial phase signals is presented. This scheme, while restricted to high SNRs, has the advantage of being extremely simple. It is also insensitive to the equal-coefficient identifiability problem of the HAF (high-order ambiguity function) based methods. It poses, however, some restrictions on the component amplitudes. Its performance in noise is investigated, and confirmed with several examples

Keywords

noise; parameter estimation; sequential estimation; signal processing; Cramer-Rao bound; Monte-Carlo simulations; algorithm; component amplitudes; equal-coefficient identifiability problem; high SNR; high-order ambiguity function; multicomponent PPS signals; multicomponent polynomial phase signals; noise; parameter estimation; performance; phase unwrapping methods; sequential estimation; sequential extraction; signal components; Parameter estimation; Phase estimation; Polynomials; Radar tracking; Sonar; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.758275

Filename

758275