Multiplicative multi-lag high order ambiguity function

Author

Barbarossa, S. ; Porchia, A. ; Scaglione, A.

Author_Institution

Dipartimento Infocom, Rome Univ., Italy

Volume

5

fYear

1996

fDate

7-10 May 1996

Firstpage

3022

Abstract

The paper examines the performance analysis of a method for estimating the parameters of multicomponent polynomial-phase signals (PPS) embedded in white Gaussian noise. It initially describes the ambiguity problem arising with similar transforms when dealing with multicomponent PPS having the same highest order phase coefficients. This situation arises in a number of practical applications and is then worth of a careful analysis. A solution of the ambiguity problem is proposed based on a transformation called multiplicative multi-lag high order ambiguity function (MML-HAF). The theoretical performance of the method are evaluated and verified by simulation results

Keywords

Fourier transforms; Gaussian noise; higher order statistics; parameter estimation; polynomials; signal processing; white noise; Fourier transform; ambiguity problem solution; highest order phase coefficients; multicomponent polynomial phase signals; multiplicative multilag high order ambiguity function; parameter estimation; performance analysis; simulation results; statistical analysis; white Gaussian noise; Gaussian noise; Mobile communication; Phase estimation; Polynomials; Proposals; Radar applications; Radar scattering; Signal analysis; Synthetic aperture radar; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.550191

Filename

550191