인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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
- 저자정보
초록·키워드
Precise positioning is essential for autonomous platforms such as unmanned aerial vehicles, but the global positioning system becomes unreliable in GPS-denied environments due to jamming. Radar-based self-positioning estimates the platform position from the ranges to reference targets at known locations, but when these targets are nearly coplanar the positioning matrix becomes geometrically singular and the vertical error grows severely. Conventional approaches mitigate this by elevating entire target structures, which imposes a heavy infrastructure burden, and use only the nearest-scatterer range of each target, exploiting 4 of the 12 available scatterers. This paper proposes a 12-anchor overdetermined localization structure that treats all three scatterers of each target as independent anchors, together with a single-scatterer vertical placement scheme that elevates only one scatterer per target. Monte Carlo simulations were performed for a 24 GHz stepped-frequency radar at 15, 10, and 5 dB SNR. The proposed method reduces the z-axis RMSE to 0.130–0.168 m from 0.189–0.260 m for the conventional 4-anchor method, a 20–36% improvement, and its error grows only about half as much as the SNR decreases, confirming its robustness under low SNR.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.