Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

UAV Direction Estimation in High-Speed Railway Environment

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

UAVs interfere with the normal operation of high-speed railway frequently in recent years. But the classical UAV monitoring system cannot supervise UAVs effectively. In order to accurately estimate the direction of the UAVs. This paper proposes an application of MUSIC algorithm based on fourth-order cumulant in UAV monitoring system. The simulations verify the performance of the algorithm in high-speed railway environment.

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REFERENCES

An, X, Feng, Z, Wang, W, et al. A single channel correlative interferometer direction finder using VXI receiver[C]. International Conference on Microwave & Millimeter Wave Technology. 2002.
Cheol-sun Park, Dae-young Kim. The Fast Correlative Interferometer Direction Finder using I/Q Demodulator[C]. Asia-pacific Conference on Communications. 2006.
Cheng, Q, Lei, H, So, HC. Computationally efficient ESPRIT algorithm for direction-of-arrival estimation based on Nyström method [J]. Frequenz, 2015, 94(7):74-80.
Friedlander, B. A sensitivity analysis of the MUSIC algorithm[J]. IEEE Transactions on Acoustics Speech & Signal Processing, 1990, 38(10):1740-1751.
Zhu, M, He, PY. A new DOA estimation algorithm based on fourth-order cumulant[J]. Journal of Sichuan University, 2011, 48(2):343-348.

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Published In

Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 485 - 490
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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School of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]
Manlin Xiao [email protected]
School of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]
School of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]

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