Improving Polynomial Phase Parameter Estimation by Using Nonuniformly Spaced Signal Sample Methods

This paper investigates the computationally efficient parameter estimation of polynomial phase signals embedded in noise. Many authors have previously proposed multilinear analysis methods which operate on uniformly spaced samples of the signal. Such methods include the higher-order ambiguity functi...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 2012-07, Vol.60 (7), p.3405-3414
Main Author: O'Shea, P.
Format: Article
Language:English
Subjects:
Ambiguity
Analytical models
Applied sciences
Computational efficiency
Computer simulation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Kernel
Mathematical analysis
Mathematical models
Maximum likelihood estimation
Noise
Non-stationary
Parameter estimation
Polynomials
Signal and communications theory
Signal to noise ratio
Signal, noise
Telecommunications and information theory
time- frequency
Transaction processing
Zirconium
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper investigates the computationally efficient parameter estimation of polynomial phase signals embedded in noise. Many authors have previously proposed multilinear analysis methods which operate on uniformly spaced samples of the signal. Such methods include the higher-order ambiguity functions (HAFs), the Polynomial Wigner-Ville distributions (PWVDs) and the higher-order phase (HP) functions. This paper investigates the use of multilinear methods which operate on nonuniformly spaced signal samples. It is seen that the relaxation of the requirement to use uniformly spaced samples in the analysis can lead to significant performance improvements. A theoretical analysis and simulations are presented in support of these claims.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2012.2191546