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Realization and Demonstration of Enhanced Korean High-speed Train Navigation System with Noise Filtering Schemes

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  • Control Theory and Applications
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Abstract

A precise train navigation system for Korean high-speed trains having a maximum speed of 400km/h or higher was developed in 2015. The navigation system employs multi-sensor fusion technique, and until now, the target performance of 1-meter instantaneous positioning accuracy in all environments including the Global Positioning System (GPS)-denied environments such as tunnels has been demonstrated using only simulations for various scenarios. In this paper, we demonstrate that the train navigation system achieves the target positioning accuracy in real train environments, which is the first train navigation system that the performance of sub-meter accuracy is demonstrated with real data in the literature. We also introduce additional filtering schemes applied to the various sensors of the train navigation system to enhance the sensor data corrupted by large unexpected noises often observed in the train environments. The train navigation system is properly modified for real train environments to employ the filtering schemes.

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Authors and Affiliations

  1. CCS Graduate School for Green Transportation at the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 305-701, Korea

    Hyunwoo Ko, Youngbo Shim & Seung-Hyun Kong

Authors
  1. Hyunwoo Ko
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  2. Youngbo Shim
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  3. Seung-Hyun Kong
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Corresponding author

Correspondence to Seung-Hyun Kong.

Additional information

Recommended by Associate Editor Gon-Woo Kim under the direction of Editor Euntai Kim. This work (2013R1A2A2A01067863) was supported by Mid-career Researcher Program through NRF grant funded by the Korean government (MEST).

Hyunwoo Ko received the B.S. degree in Mechanical and Control Engineering from Handong Global University, Pohang, Korea, in 2014 and the M.S. degree at the CCS Graduate School for Green Transportation in the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2016.

Youngbo Shim received the B.S. and M.S. degrees in Electronics Engineering from Chungbuk National University, Cheongju, Korea, in 2014 and 2016, respectively. Since 2016, he is with the Korea Advanced Institute of Science and Technology (KAIST), where he is currently a Researcher at the CCS graduate school of green transportation.

Seung-Hyun Kong received his B.S. degree in Electronics Engineering from Sogang University, Korea, in 1992, an M.S. degree in Electrical Engineering from Polytechnic University (merged to NYU), New York, in 1994, and a Ph.D. degree in Aeronautics and Astronautics from Stanford University, CA, in Jan. 2006. From 1997 to 2004, he was with Samsung Electronics Inc. and Nexpilot Inc., both in Korea, where he worked on developing wireless communication system standards and mobile positioning technologies. In 2006 and from 2007 to 2009, he was a staff engineer at Polaris Wireless Inc., Santa Clara, and at Qualcomm Inc. (Corp. R&D), San Diego, respectively, where his research focus was on Assisted-GNSS and wireless positioning technologies. Since 2010, he is with Korea Advanced Institute of Science and Technology (KAIST), where he is currently an associate professor at the CCS Graduate School of Green Transportation. He is an Editor of IET, Radar, Sonar and Navigation, and an Associate Editor of IEEE transactions on ITS and IEEE Access. His research interests include next generation GNSS, advanced sensing and signal processing for navigation systems, and vehicular communication systems.

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Ko, H., Shim, Y. & Kong, SH. Realization and Demonstration of Enhanced Korean High-speed Train Navigation System with Noise Filtering Schemes. Int. J. Control Autom. Syst. 16, 769–781 (2018). https://doi.org/10.1007/s12555-016-0488-6

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  • DOI: https://doi.org/10.1007/s12555-016-0488-6

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