Cart (Loading....) | Create Account
Close category search window

Adaptive unscented filtering technique and particle swarm optimization for estimation of non-stationary signal parameters

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Hasan, S. ; Silicon Inst. of Technol., Bhubaneswar ; Dash, P.K. ; Panigrahi, K.B. ; Biswal, B.

The paper presents an adaptive unscented Kalman filter (AUKF) for the estimation of non-stationary signal amplitude and frequency in the presence of significant noise and harmonics. The initial choice of the model and measurement error covariance matrices Q and R along with other UKF parameters is performed using a modified Particle Swarm Optimization (PSO) algorithm. Further to improve the tracking performance of the filter in the presence of noise the error covariance matrices Q and R are adapted iteratively. Various simulation results for time varying frequency of the signal reveal significant improvement in noise rejection and accuracy in obtaining the frequency and amplitude of the signal.

Published in:

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Date of Conference:

25-27 May 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.