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Launching Point Estimation Using Inverse First-Order Pitch Programming

Author

Listed:
  • Sungjin Cho

    (Department of Electronic Engineering, Sunchon National University, Suncheon 57922, Republic of Korea)

  • Taek Lyul Song

    (School of Electrical Engineering, Hanyang University, Ansan 15588, Republic of Korea)

  • Hyeok-Jin Choi

    (Agency for Defense Development, Seoul 05771, Republic of Korea)

Abstract

This paper presents an estimation of the launching points of unmanned aerial vehicles (UAVs) equipped with boosters. When UAVs are detected and tracked by sensors such as radars, the fast identification of vehicle launching points is needed for air traffic control and defense systems. When UAVs in a boosting phase are controlled by first-order pitch programming, this paper leverages inverse first-order pitch programming to analytically solve launching points. Furthermore, a two-point robust measurement selection (T-RMS) scheme is developed to reduce errors such as random noise and bias by utilizing multiple moving average filters. The proposed work is verified by various simulation results.

Suggested Citation

  • Sungjin Cho & Taek Lyul Song & Hyeok-Jin Choi, 2024. "Launching Point Estimation Using Inverse First-Order Pitch Programming," Mathematics, MDPI, vol. 12(18), pages 1-12, September.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:18:p:2953-:d:1483585
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