By Topic

Tracking of a rotating object in a Wireless Sensor Network using fuzzy based adaptive IMM filter

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

3 Author(s)
Hassani, A. ; Dept. of Electr. Eng.-ESAT, KU Leuven, Leuven, Belgium ; Bertrand, A. ; Moonen, M.

In this paper, a new fuzzy-logic based adaptive Interactive Multiple Model (IMM) filter is presented for tracking a vehicular rotating object in a Wireless Sensor Network (WSN). In this method, a Fuzzy-logic Inference System (FIS) is employed to adaptively tune the system noise covariance matrix associated with the Nearly Constant Velocity (NCV) model. By reducing the number of interacting models, our algorithm simplifies state-of-the-art IMM algorithms for tracking of a rotating object. Localization for data aggregation process is performed by means of the triangulation method in conjunction with dynamic grouping of sensors. Monte Carlo simulations show that this scheme achieves good tracking performance for both highly rotating and non-rotating objects compared to state-of-the-art IMM algorithms.

Published in:

Communications and Vehicular Technology in the Benelux (SCVT), 2012 IEEE 19th Symposium on

Date of Conference:

16-16 Nov. 2012