DocumentCode :
2875636
Title :
Network-Assistant Localization and In-flight Alignment for Carrier-Based Aircraft: A Wireless Sensor Network Approach
Author :
Gao, Chao ; Zhao, Guorong ; Liu, Tao ; Bi, Bo
Author_Institution :
Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
fYear :
2009
fDate :
1-3 Nov. 2009
Firstpage :
168
Lastpage :
172
Abstract :
This paper mainly realize in-flight localization and alignment for carrier-based aircraft in a three-dimensional fleet network. A 3D node localization scheme is presented based on weighed-multidimensional scaling, which adopt spherical locating in the initial stage, and adaptively choose source nodes with high relative reliability to achieve position update. Then a robust filter algorithm is applied to compensate time-varying delay error and large azimuth uncertainty in alignment. Extensive simulation shows that DMDG-3D localization scheme can provide highly accurate and reliable relative navigation information in real time, and l2-l filter algorithm can accelerated convergence process by 32.3 percent.
Keywords :
aircraft; telecommunication network reliability; wireless sensor networks; 3D node localization; accelerated convergence process; azimuth uncertainty; carrier-based aircraft; high relative reliability; in-flight alignment; in-flight localization; network-assistant localization; reliable relative navigation information; robust filter algorithm; three-dimensional fleet network; time-varying delay error; weighed-multidimensional scaling; wireless sensor network approach; Acceleration; Aircraft; Azimuth; Delay; Information filtering; Information filters; Navigation; Robustness; Uncertainty; Wireless sensor networks; 3D localization; DMDG; in-flight alignment; network-assistant; robust filter; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
Type :
conf
DOI :
10.1109/ICINIS.2009.51
Filename :
5366931
Link To Document :
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