DocumentCode :
517379
Title :
Multi-algorithm Hybrid Location Model Based on Data Fusion
Author :
Hui, Xiaowei ; Yan, Qifei
Author_Institution :
Sch. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China
Volume :
1
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
408
Lastpage :
412
Abstract :
Spread in line of the sight environment, AOA, TOA and TDOA location technology can achieve such good results, but in non-line of sight environment, the above-mentioned location have their own advantages and disadvantages, making positioning effect is not very satisfactory. Through research and analysis of the above-mentioned several positioning methods, combined with data fusion technique, this paper presents a multi-algorithm hybrid location model based on data fusion. Positioning accuracy of the algorithm has made great improvements.
Keywords :
direction-of-arrival estimation; sensor fusion; time-of-arrival estimation; AOA; TDOA; TOA; data fusion; line of the sight; multi-algorithm hybrid location model; non-line of sight; positioning accuracy; Antenna arrays; Antenna measurements; Base stations; Communications technology; Coordinate measuring machines; Geometry; Mobile antennas; Position measurement; Signal processing algorithms; Time difference of arrival;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Mobile Computing (CMC), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6327-5
Electronic_ISBN :
978-1-4244-6328-2
Type :
conf
DOI :
10.1109/CMC.2010.105
Filename :
5471445
Link To Document :
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