Volume 5, Issue 3 (Journal of Control, V.5, N.3 Fall 2011)                   JoC 2011, 5(3): 24-35 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Moaveni B, Rouhi S. Comparison the State Vector Fusion Methods for Data Fusion in Multi Sensors Networks. JoC 2011; 5 (3) :24-35
URL: http://joc.kntu.ac.ir/article-1-80-en.html
Abstract:   (9607 Views)
In this paper, we compare the performance of state vector fusion methods for data fusion of multi sensors networks by comparing the estimation errors covariance. Here, we represent the three main state vector data fusion methods and we prove the equivalency of the estimation error covariance matrices corresponding to these three methods. In last part of the paper, the simulation results are presented to show the effectiveness of the theoretical results. Also, we analyze the computational load of these three methods by simulation analysis.
Full-Text [PDF 677 kb]   (3190 Downloads)    
Type of Article: Research paper | Subject: Special
Received: 2014/06/15 | Accepted: 2014/06/15 | Published: 2014/06/15

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Control

Designed & Developed by : Yektaweb