Maneuvering target tracking with 3D variable turn model and kinematic constraint = 3D 가변 선회 모델과 기구학적 구속 조건을 사용한 기동 표적 추적 연구

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In this paper, research on estimation of the states of Target Of Interest using fixed-wing Unmanned Aerial Vehicle(UAV) for surveillance, intercept, tracking and assessment purposes is performed. States that are of interest vary according to the user's needs. In this research, the target position, velocity, and acceleration are chosen to be the states of interests. Unmanned Aerial Vehicles can be controlled via remote Ground Control Center (GCS) and are operated airborne, making it easier to observe any object. These advantages led target tracking with UAVs to be one of intensively researched and studied areas in aerospace engineering. Methods of acquiring measurements of a target with a UAV platform are using sensors like Radar, Vision Camera, or Range Finders. Among those various sensors, this research is focused on using a vision sensor that is convenient to come by, cheap, and easy to implement unto lightweight UAV for target state estimation. vision Sensors, despite all its advantages, measure Line Of Sight(LOS) angles only which are known to be highly non-linear. This type of problem is called Bearing Only Measurement(BOM) problem. Line Of Sight angle measurements that are functions of relative distances make target dynamic modeling hard to be implemented into a filter. To solve this issue, the Pseudomeasurement equation that can transform the LOS measurement equation with relative distance states to target states which enabled the filter to use the 3D variable turn model and Kinematic Constraint into the state transition matrix and measurement equation. Bias Compensation Pseudomeasurement Filter (BCPMF) is used to implement this dynamic model, which is known to be robust to initial conditions over Modified Gain Pseudomeasurement Filter(MGPMF) and Modified Gain Extended Kalman Filter(MGEKF). Moreover, Two-Stage Kalman Filter(TSKF) form was used to benefit from the parallel computation. With these methods, TBCPMF 3DVT-KC is proposed and simulated to assess performance.
Advisors
Bang, Hyochoongresearcher방효충researcher
Description
한국과학기술원 :항공우주공학과,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 항공우주공학과, 2020.8,[iv, 64 p. :]

Keywords

Line Of Sight Angle▼aKalman Filter▼a3D variable Turn Model▼aKinematic Constraint▼aBias Compensation Psedomeasurement Filter▼aTwo Stage Kalman Filter; 시선각▼a칼만필터▼a3D 가변 선회모델▼a기구학적 구속조건▼aBCPMF▼a이단계 칼만 필터

URI
http://hdl.handle.net/10203/284966
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=925126&flag=dissertation
Appears in Collection
AE-Theses_Master(석사논문)
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