A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles

A quantified accuracy measurement based AUV localization algorithm which employs cooperation among multiple AUVs is proposed. With cooperative communication, AUVs with high location accuracies can help to improve the localization accuracy of AUVs with currently low location accuracies. The average updating time via GPS and deviation distance are measured. Simulation results show that the proposed localization algorithm improves the localization accuracy and reducing the location updating frequency for AUVs. Besides, it helps to prolong the AUV lifetime.

[1]  T. Austin,et al.  PARADIGM: a buoy-based system for AUV navigation and tracking , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[2]  J. A. Catipovic,et al.  An integrated approach to multiple AUV communications, navigation and docking , 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

[3]  Winston Khoon Guan Seah,et al.  Localization in underwater sensor networks: survey and challenges , 2006, Underwater Networks.

[4]  Yuan Li,et al.  Research challenges and applications for underwater sensor networking , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[5]  S. P. Beerens,et al.  An Analytical Study of Chaotic Stirring in Tidal Areas , 1994 .

[6]  Milica Stojanovic,et al.  Underwater acoustic communication channels: Propagation models and statistical characterization , 2009, IEEE Communications Magazine.

[7]  Hanumant Singh,et al.  Advances in Underwater Robot Vehicles for Deep Ocean Exploration: Navigation, Control, and Survey Operations , 2000 .

[8]  S. Shahabudeen,et al.  Recent advances in underwater acoustic communications & networking , 2008, OCEANS 2008.

[9]  Milica Stojanovic,et al.  On the relationship between capacity and distance in an underwater acoustic communication channel , 2007, MOCO.

[10]  M. Grund,et al.  Experiments in moving baseline navigation using autonomous surface craft , 2005, Proceedings of OCEANS 2005 MTS/IEEE.

[11]  Zhou Shengli,et al.  Prospects and problems of wireless communication for underwater sensor networks , 2008 .

[12]  Stefan B. Williams,et al.  Simultaneous Localisation and Mapping and Dense Stereoscopic Seafloor Reconstruction Using an AUV , 2008, ISER.

[13]  F. Lobo Pereira,et al.  Development and implementation of a low-cost LBL navigation system for an AUV , 1999, Oceans '99. MTS/IEEE. Riding the Crest into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No.99CH37008).

[14]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.