인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
초록·키워드
Abstract Low-Earth Orbit (LEO) based signal of opportunity positioning offers an attractive alternative for backup or augmentation of Global Navigation Satellite Systems (GNSS) due to its characteristics such as high signal power and high orbital velocity. Since the signals broadcast by LEO do not contain the signal transmission time, accurate signal propagation time estimation is crucial to improving the performance of LEO Doppler positioning systems. This paper proposes a novel outer-loop Doppler positioning framework that accounts for signal propagation time. It introduces a purely geometric model to estimate signal propagation time and incorporates the effects of signal propagation time during the construction of the observation model. The experimental results show that the proposed algorithm can effectively improve the accuracy of state estimation, and the accuracy of three-dimensional position and velocity estimation is improved by more than 15% and 25% respectively, and the accuracy of error estimation related to the receiver clock is also significantly improved. The theoretical limit of the initial state to which the model can converge is also explored. When the initial position error reaches 200 km, the tolerable clock error drops to less than 50 ms. In addition, experiments are carried out using measured Iridium observation. Compared with the existing algorithm that considers the propagation time error as the coarse-time parameter estimation, the point positioning errors of the proposed algorithm is reduced 13.4% and the stability is significantly improved.
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.
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