Analysis of Noise Immunity of the UAV Onboard Control System Based on Physical Modeling of Induced Interference

Author:

Gizatullin Z. M.,Shleimovich M. P.

Publisher

Allerton Press

Subject

Aerospace Engineering

Reference33 articles.

1. Handbook of Unmanned Aerial Vehicles, Eds. Valavanis, K.P. and Vachtsevanos, G.J., New York: Springer, 2015.

2. Sebbane, Y.B., Intelligent Autonomy of UAVs: Advanced Missions and Future Use, London: Chapman and Hall/CRC, 2018.

3. Lyasheva, S.A., Medvedev, M.V., and Shleimovich, M.P., Terrain Object Recognition in Unmanned Aerial Vehicle Control System, Izv. Vuz. Av. Tekhnika, 2014, vol. 57, no. 3, pp. 64–66 [Russian Aeronautics (Engl. Transl.), 2014, vol. 57, no. 3, pp. 303–306].

4. Shleymovich, M.P., Medvedev, M.V., and Lyasheva, S.A., Image Analysis in Unmanned Aerial Vehicle on-Board System for Objects Detection and Recognition with the Help of Energy Characteristics Based on Wavelet Transform, Proc. of the SPIE 14th International Scientific and Technical Conference on Optical Technologies in Telecommunications, 2017, vol. 10342, article no. 1034210.

5. Emaletdinova, L.Yu., Matveev, I.V., and Kabirova, A.N., Method of Designing a Neural Controller for the Automatic Lateral Control of Unmanned Aerial Vehicles, Izv. Vuz. Av. Tekhnika, 2017, vol. 60, no. 3, pp. 44–51 [Russian Aeronautics (Engl. Transl.), 2017, vol. 60, no. 3, pp. 365–373].

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