Affiliation:
1. Northwestern Polytechnical University
Abstract
This paper addresses the observability problem of 2D Multiple Autonomous Underwater Vehicles (MAUVs) cooperative navigation system. We derive the conditions to keep the local weak observability of navigation system using the Lie derivatives, and characterize the unobservable trajectories of AUVs. We design a series of simulation experiments using the Extended Kalman Filter (EKF) to verify the theoretical results. Finally, the simulation results show that the good performance of navigation system can be presented if avoiding the unobservable trajectories of AUVs.
Publisher
Trans Tech Publications, Ltd.
Reference14 articles.
1. J. Curcio, J. Leonard, J. Vaganay, A. Patrikalakis, A. Bahr, D. Battle, H. Schmidt and M. Grund. Experiments in moving baseline navigation using autonomous surface craft[C]. Proceedings of MTS/IEEE OCEANS, Vol. 1(2005), pp.730-735.
2. P. Baccou, B. Jouvencel, V. Creuze, C. Rabaud. Cooperative positioning and navigation for multiple AUV operations[C]. MTS/IEEE Conference and Exhibition OCEANS, Vol. 3(2001), pp.1816-1821.
3. L. Zhang, M. Liu, D. Xu, W. Yan. Cooperative localization and navigation for multiple AUVs[J]. Journal of System Simulation, Vol. 20(2008), No. 19, pp.5342-5344.
4. A. Matos, N. Cruz. AUV navigation and guidance in a moving acoustic network[C]. Proceedings of the MTS/IEEE Conference OCEANS, Vol. 1(2005), pp.680-685.
5. N. Santos, A. Matos, N. Cruz. Navigation of an Autonomous Underwater Vehicle in a Mobile Network[C]. Proceedings of the MTS/IEEE Conference OCEANS (2008), pp.1-5.
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