Study on Underwater Terrain Matching Techniques Based on an Improved PMF Algorithm

Hong Liu; Yong Qi Gao; Yi Zhang

doi:10.4028/www.scientific.net/AMM.203.22

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 203Study on Underwater Terrain Matching Techniques...

Study on Underwater Terrain Matching Techniques Based on an Improved PMF Algorithm

Abstract:

Due to the existence of the accumulation errors in inertial navigation system(INS) and traditional point-mass filter (PMF) algorithm has problems of navigation precision and reliability when it is used for underwater terrain matching navigation, an improved PMF algorithm is proposed. Because the PMF algorithm is sensitive to initial errors and degeneration phenomenon usually appears with the increasing of matching number, the improved algorithm adopts cubic spline interpolation method to deal with the posterior probability density to prevent degeneration phenomenon. Then the TERCOM algorithm is introduced for initial alignment to reduce the influence of the initial errors. Finally the improved algorithm is simulated. The simulation results show the algorithm has a good robustness and accuracy.

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Periodical:

Applied Mechanics and Materials (Volume 203)

Pages:

22-26

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.203.22

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Online since:

October 2012

Authors:

Hong Liu, Yong Qi Gao, Yi Zhang

Keywords:

Improved PMF Algorithm, Navigation, TERCOM Algorithm, Terrain Matching

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References

[1] C.X. Liu: A Study on Terrain Matching Assistant positioning Technology for Underwater Vehicle, ph.D. Harbin: Harbin Engineering University(2003).

Google Scholar

[2] Z. LIU, W.F. S, Z. CHEN: Research on Technology in Sea bottom Terrain Match, JOURNAL OF SYSTEM SIMULATION, vol. 16, no. 4 (2004), pp.700-702.

Google Scholar

[3] S.S. CHEN, Y.B. LI, Y. LI: Study on the Technology of Terrain Contour Matching Guidance, GUIDANCE and FUZE, vol. 24, no. 3: (2003), pp.17-21.

Google Scholar

[4] O. Hagen, K. Ånonsen, and M. Mandt: The HUGIN real-time terrain navigation system, MTS/IEEE Seattle, OCEANS 2010 Seattle(2010).

DOI: 10.1109/oceans.2010.5664579

Google Scholar

[5] C. Morice, S. Veres, S. McPhail: Terrain Referencing for Autonomous Navigation of Underwater Vehicles. OCEANS 2009-EUROPE(2009).

DOI: 10.1109/oceanse.2009.5278257

Google Scholar

[6] M. Taylor, A. Wilby: Design Considerations and Operational Advantages of a Modular AUV with Synthetic Aperture Sonar, OCEANS`11 MTS/IEEE Kona(2011).

DOI: 10.23919/oceans.2011.6107156

Google Scholar

[7] H. Kondo,T. Maki,T. Ura,T. Sakamak: AUV Navigation Based on Multi-sensor Fusion For Breakwater Observation, International Symposium on Automation and Robotics in Construction 2006 (2006).

DOI: 10.22260/isarc2006/0016

Google Scholar

[8] N. Bergman: Recursive bayesian estimation-navigation and tracking applications, ph.D. dissertation, Department of Electrical Engineering, Linkoping University, Sweden(1999).

Google Scholar

[9] K. Anonsen, O. Hallingstad: Terrain Aided Underwater Navigation Using Point Mass and Particle Filters, 2006 IEEE/ION Position, Location, and Navigation Symposium(2006).

DOI: 10.1109/plans.2006.1650705

Google Scholar

[10] Q.T. Feng: The Researeh on New Terrain Elevation Matching Approaches and Their Applicability, ph.D. ChangSha: National University of Defense Technology(2004).

Google Scholar