전투기 탑재 AESA 레이다를 위한 예측시선좌표계 기반 표적 추적필터 설계

다국어 초록 (Multilingual Abstract)

This paper deals with the problem of tracking a target using an airborne AESA radar. Unlike the ground-based tracking systems, the angular motion of a platform makes the noise statistics of the converted measurements (CMs) complicated, hence the conventional approaches produce the biased target state estimates. To settle this problem, the predicted line-of-sight Cartesian coordinate system (PLCCS) is introduced. Provided that the a priori state estimation error is small enough, the statistical properties of the CMs in PLCCS can be accurately approximated only using the 1st and 2nd moments of the radar measurement noises. In addition, the resulting debiasing term leads to the satisfactory performance of the proposed filter. Enjoying the diagonal form of the noise covariance matrix, we can decouple the tracking filter into each axis for real-time implementation. Through simulations, the enhanced performance of the suggested method over the previous schemes is demonstrated.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 좌표계 정의에 따른 의사측정잡음의 통계적 속성
• 3. 예측시선좌표계 추적필터 설계 및 구현
• 4. 표적추적 성능분석
• 5. 결론
• References