Title :
Sequential extraction of components of multicomponent PPS signals
Author :
Oliveira, Paulo M. ; Barroso, Victor
Author_Institution :
Escola Naval-DAEI, Almada, Portugal
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.758275
