Paper Info
Title
Improve the positioning accuracy for wireless sensor nodes based on TFDA and TFOA using data fusion
Abstract
In wireless sensor networks (WSN), location information acquisition is critical to guarantee their performance. This paper presents the positioning methods in WSN with based on the linear frequency modulation continuous wave (FMCW) techniques. Reference nodes with known locations transmit linear FMCW reference signals, while other sensor nodes estimate their locations based on the time frequency difference arrival (TFDA) or time frequency of arrival (TFOA). The geometric locations of RNs affect the location accuracy. In order to overcome the geometric dilution of precision (GDOP) effect and improve the location accuracy, the data fusion method is proposed. The location estimates from TFDA and TFOA are combined using Bayes rule. The simulation results show that the data fusion method enjoys higher location accuracy.
Year
DOI
Venue
2010
10.1109/ICNSC.2010.5461554
ICNSC
Keywords
Field
DocType
location,positioning accuracy,linear frequency modulation continuous wave technique,positioning,frequency modulation continuous wave,time frequency of arrival,tfoa,time frequency difference arrival,bayes rules,data fusion,geometric dilution of precision,tfda,wireless sensor node,wireless sensor networks,sensor placement,time-of-arrival estimation,sensor fusion,location information acquisition,mathematical model,accuracy,bayes rule,continuous wave,wireless sensor network,time frequency,synchronization,global positioning system,time frequency analysis,routing
Synchronization,Wireless,Computer science,Real-time computing,Sensor fusion,Global Positioning System,Time–frequency analysis,Frequency modulation,Dilution of precision,Wireless sensor network
Conference
ISBN
Citations 
PageRank 
978-1-4244-6450-0
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Lichuan Liu152.80
E. Manli250.88