| Title |
Long-term Trajectory Prediction of Highly Maneuvering Target for Advanced Naval Close-In-Weapon Systems |
| Authors |
함다혜(Dahye Ham) ; 조형찬(Hyung-Chan Cho) ; 나원상(Won-Sang Ra) ; 안지훈(Ji-Hoon An) ; 김상현(Sang-Hyun Kim) ; 박준현(June-Hyune Prak) |
| DOI |
https://doi.org/10.5370/KIEE.2021.70.2.408 |
| Keywords |
Long-term trajectory prediction; close-in-weapon system (CIWS); predicted impact point; anti-ship missiles; terminal maneuver |
| Abstract |
This paper proposes a precise long-term trajectory prediction algorithm for the interception of highly maneuvering targets by a naval close-in-weapon system (CIWS). Ensuring satisfactory kill-probability, a target’s flight dynamics is described as the nonlinear differential equation with two slowly varying parameters. Our system model also contains the unknown control gains representing the general form of guidance laws, which can be modeled as random walk processes to cope with the versatile target maneuver in the terminal guidance phase. As a result, the long-term trajectory predictor is easily designed by applying the unscented Kalman filter for the probabilistic nonlinear state-space model. Through the simulations for typical ASM target engagement scenarios, it is demonstrated that the proposed filter is beneficial to improve the accuracy of the impact point calculation, which is necessary for the fire control algorithm of a CIWS. |