Algorithms for instantaneous frequency estimation: a comparative study

QSpace/Manakin Repository

Algorithms for instantaneous frequency estimation: a comparative study

Show full item record


Title: Algorithms for instantaneous frequency estimation: a comparative study
Author: Boashash, Boualem; O'Shea, Peter; Arnold, M.J.
Abstract: This paper examines the problem of instantaneous frequency (IF) estimation for Frequency Modulated (FM) signals imbedded in white Gaussian noise. It reviews currently available techniques and in addition proposes some new ones based on a modelling of the signal phase as a polynomial. Both linear least-squares techniques and Maximum Likelihood (ML) techniques are investigated for estimating the polynomial coefficients. It is seen that the linear least squares approach is efficient (i. e. unbiased and meets the Cramer-Rao bounds) for high SNR while the ML scheme is efficient for a much larger range of SNR. Theoretical lower variance bounds are given for estimating the polynomial coefficients and are compared with the results of simulations. Guidelines are given as to which estimation method should be used for a given signal class and Signal to Noise Ratio (SNR) level.
Description: This was then work-in-progress to compare IF estimators. (The most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net). This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia., and then continuously updated).
URI: http://hdl.handle.net/10576/10708
Date: 1990-07

Files in this item

Files Size Format View
Boashash-O’Shea ... E_IF-estimators-review.pdf 899.2Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record

Search QSpace


Advanced Search

Browse

My Account