JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Analysis of Integrated Navigation Performance for Sensor Selection of Unmanned Underwater Vehicle (UUV)
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Analysis of Integrated Navigation Performance for Sensor Selection of Unmanned Underwater Vehicle (UUV)
Yoo, Tae-Suk; Kim, Moon Hwan;
  PDF(new window)
 Abstract
This paper presents the results of an integrated navigation performance analysis for selecting the sensor of an unmanned underwater vehicle (UUV) using Monte Carlo numerical simulation. An inertial measurement unit (IMU) and Doppler velocity log (DVL) are considered to build the integrated navigation system. The position error and price of the sensor are selected as performance indices to evaluate the volunteer integrated navigation systems. Monte-Carlo simulation is introduced to analyze the circular error probability (CEP) and its variance. Simulation results provide the proper sensor combination for integrated navigation in relation to the performance and price.
 Keywords
DVL;INS;Monte Carlo Numerical Simulation;
 Language
Korean
 Cited by
 References
1.
Fossen, 1994. Guidance and Control of Ocean Vehicles. Jhon Wiley & Sons Ltd.

2.
Jeon, B.W., Park, J.Y., Lee, P.M., 2007. Development and Tank Test of an Autonomous Underwater Vehicle 'ISiMI'. Journal of Ocean Engineering and Technology, 21(2), 67-74.

3.
Lee, J.M., Lee, P.M., Seong, W.J., 2003a. Underwater Hybrid Navigation Algorithm Based on an Inertial Sensor and a Doppler Velocity Log Using an Indirect Feedback Kalman Filter. Journal of Ocean Engineering and Technology, 17(6), 83-90.

4.
Lee, J.M., Lee, P.M., Kim, S.M., Hong, S.W., SEO, J.W., Seong, W.J., 2003b. Rotating Arm Test for Assessment of an Underwater Hybrid Navigation System for a Semi-Autonomous Underwater Vehicle, Journal of Ocean Engineering and Technology, 17(4), 73-80.

5.
Lee, P.M., Jeon, B.H., Kim, S.M., Lee, J.M., Lim, Y.K., Yang, S.I., 2004. A Hybrid Navigation System for Underwater Unmanned Vehicles, Using a Range Sonar. Journal of Ocean Engineering and Technology, 18(4), 33-39.

6.
Titterton, D.H., Weston, J.L., 1997. Strapdown Inertial Navigation Technology. Peter Pegerinus, London.

7.
Wanli, L., Jinling, W., Liangqing, L., Wenqi, W., 2013. A Novel Scheme for DVL-Aided SINS In-Motion Alignment Using UKF Techniques. Sensors, 13, 1046-1063. crossref(new window)

8.
Yanrui, G., Ricardo, M., Joao, S., 2010. Accuracy Analysis of DVL/IMU/Magnetometer Integrated Navigation System using Different IMUs in AUV. 2010 8th IEEE ICCA, Xiamen, China, 516-521.

9.
Yoo, T.S., Chung, G.P., Yoon, S.I., 2013. Development of Integrated Navigation Algorithm for Underwater Vehicle using Velocity Filter. Journal of Ocean Engineering and Technology, 27(2), 93-99. crossref(new window)