DocumentCode :
174834
Title :
Moving horizon estimation for cooperation localization of multiple unmanned underwater vehicles with communication delay
Author :
Wei Gao ; Jian Yang ; Ju Liu ; Hongyang Shi ; Daidai Chen
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2014
fDate :
5-8 May 2014
Firstpage :
976
Lastpage :
981
Abstract :
The cooperative localization (CL) problem for multiple unmanned underwater vehicles (MUUVs) with communication delay is considered. In the master-slaver cooperation structure, the master UUV´s relative localization information (RLI) is transmitted to master UUVs via acoustic communication. Due to the terrible underwater environment, measurements are subject to random delay. Moving horizon estimation (MHE) method with DEKF based arrive cost update law is presented in this paper to obtain accurate and reliable estimation of present state. At the end of this paper, simulation results are shown to prove the superiority and practicality of the proposed MHE algorithm.
Keywords :
Kalman filters; autonomous underwater vehicles; cooperative communication; delays; nonlinear filters; underwater acoustic communication; CL problem; DEKF based arrive cost update law; MHE method; MUUVs; RLI; acoustic communication; communication delay; cooperation localization; delayed extended Kalman filter; master UUV relative localization information; master-slaver cooperation structure; moving horizon estimation method; multiple unmanned underwater vehicles; random delay; terrible underwater environment; Acoustics; Cost function; Delays; Equations; Estimation; Noise; Vectors; MUUVs; cooperation localization; moving horizon estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION
Conference_Location :
Monterey, CA
Print_ISBN :
978-1-4799-3319-8
Type :
conf
DOI :
10.1109/PLANS.2014.6851462
Filename :
6851462
Link To Document :
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