지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.10
- 수록면
- 450 - 453 (4page)
이용수
초록· 키워드
오류제보하기
The threat of ballistic targets has increased rapidly in recent years. Therefore, it is essential to prepare the capabilities to predict their impact points in order to assign the firing battery to defense them effectively. Because the trajectory of a short-range ballistic target represents severe non-linear characteristics and consists of boost phase and ballistic phase, it is difficult to estimate the state and predict its impact point using single dynamic model in overlapping region. In this paper, the method to distinguish the trajectory phase from the measurement data and the method to estimate the state using a different extended Kalman filter (EKF) with interacting multiple models are proposed in order to fuse the state of a ballistic target in overlapping region. For effective the state fusion, it is necessary to merge each state from a different EKF in accordance with the mode probability depending on the residual error between the estimated state and measurement. A Monte Carlo simulation is used in the verification of the proposed method.
목차
Abstract
1. INTRODUCTION
2. PROBLEM STATEMENT
3. COORDINATE TRANSFORMATION
4. DYNAMIC / MEASUREMENT MODEL
5. IMPACT POINT PREDICTION
6. SIMULATION
7. CONCLUSIONS
REFERENCES
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