Multi-sensor Data Processing and Fusing Based on Kalman Filtering

The background of this paper is the warehouse target localization and tracking system which is composed of a number of wireless sensor nodes. Firstly this paper established a model of warehouse target localization and tracking system, then a model of multi-sensor data preprocessing and data fusion w...

Full description

Saved in:
Bibliographic Details
Main Authors: Guangrong, Bian (Author), Hongsheng, Li (Author), Ninghui, He (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2013-03-01.
Subjects:
Online Access:Get fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02137 am a22002893u 4500
001 ijeecs2091_2574
042 |a dc 
100 1 0 |a Guangrong, Bian  |e author 
100 1 0 |e contributor 
700 1 0 |a Hongsheng, Li  |e author 
700 1 0 |a Ninghui, He  |e author 
245 0 0 |a Multi-sensor Data Processing and Fusing Based on Kalman Filtering 
260 |b Institute of Advanced Engineering and Science,   |c 2013-03-01. 
520 |a The background of this paper is the warehouse target localization and tracking system which is composed of a number of wireless sensor nodes. Firstly this paper established a model of warehouse target localization and tracking system, then a model of multi-sensor data preprocessing and data fusion was established, and self-adaptive linear recursive method was used to eliminate outliers of the original measured data. Then least squares fitting filter was used to do filtering and denoising for the measured data. In the end, the data which were measured by multi-sensor can be fused by Kalman Filtering algorithm. Data simulation analysis shows that the use of kalman filtering algorithm for the fusion of the data measured by multi-sensor is to obtain more accurate warehouse target location data, so as to increase the positioning and tracking accuracy of the warehouse target localization and tracking system.Key Words:Wireless Sensor Network,Data Fusion,Kalman Filtering DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2195 
540 |a Copyright (c) 2013 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 3: March 2013; 1266-1277 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v11.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2091/2574 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2091/2574  |z Get fulltext