An Efficient Algorithm for Instantaneous Frequency Estimation of Nonstationary Multicomponent Signals in Low SNR

被引：0

作者：

Jonatan Lerga

Victor Sucic (EURASIP Member)

Boualem Boashash

机构：

[1] University of Rijeka,Faculty of Engineering

[2] Qatar University,College of Engineering

[3] The University of Queensland,UQ Centre for Clinical Research

来源：

EURASIP Journal on Advances in Signal Processing | / 2011卷

关键词：

Mean Square Error; Estimation Accuracy; Instantaneous Frequency; Frequency Estimation; Full Article;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A method for components instantaneous frequency (IF) estimation of multicomponent signals in low signal-to-noise ratio (SNR) is proposed. The method combines a new proposed modification of a blind source separation (BSS) algorithm for components separation, with the improved adaptive IF estimation procedure based on the modified sliding pairwise intersection of confidence intervals (ICI) rule. The obtained results are compared to the multicomponent signal ICI-based IF estimation method for various window types and SNRs, showing the estimation accuracy improvement in terms of the mean squared error (MSE) by up to 23%. Furthermore, the highest improvement is achieved for low SNRs values, when many of the existing methods fail.

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