By Topic

Informax-Based Data Fusion for Sensor Network

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)
Haiting Tian ; Inst. of Opto-Electron. Technol., Beijing Univ. of Aeronaut. & Astronaut. (BUAA), Beijing, China ; Jing Jin ; Chunxi Zhang ; Ningfang Song

The data fusion algorithm has been developing extensively with the wide application of sensor networks. An Informax-based data fusion algorithm is proposed in this paper. The fusion matrix can be self-adaptive from the mutual information of the sensors output to obtain the maximal approximation of the original signal. In addition, the effects of step-size factor are analyzed. A Gyroscopes Network that uses the Informax algorithm to fuse the gyroscopes output is introduced as an implementation. Furthermore, a prototype has been built and the precision of the gyroscopes network after data fusion was improved about 6.5 times over that of a single gyroscope in prototype.

Published in:

Sensors Journal, IEEE  (Volume:9 ,  Issue: 7 )