alexa A Noval Solution of Implementation Issues of Kalman Fi
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

A Noval Solution of Implementation Issues of Kalman Filter for Tracking the Targets

Beena M Varghese1, Sija Gopinathan1 and Daisykutty Abraham2
  1. Associate Professor, Dept.EEE, M A College of Engineering, Kothamangalam, Kerala, India
  2. Professor, Dept.EEE, M A College of Engineering, Kothamangalam, Kerala, India
Related article at Pubmed, Scholar Google


The Kalman filter gives a linear, unbiased and minimum error variance recursive algorithm to optimally estimate the unknown state of a system from noisy data taken at discrete real-time. This paper present the practical aspects of implementing Kalman filter estimator applied to time varying stochastic non-linear models. The conventional implementation of the Kalman filter is particularly sensitive to round off errors, errors in the linearization process and ill conditioning in connection with matrix inversion. To reduce the complexity, the methods based on UD factorizations, aiming to simplify the update of the sate co-variance matrix P=UDUT. During the update of P, there is no need to find the FK , the Jacobian of the state transition matrix. Simulation of linear non linear target trajectory is performed using MATLAB R2009b. The result shows that the relative improvement in the convergence achieved using the UD factorization method.


Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version