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Novel algorithm for geomagnetic navi

時間:2023-05-06 17:14:44 航空航天論文 我要投稿
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Novel algorithm for geomagnetic navigation

Abstract:To solve the highly nonlinear and non-Gaussian recursive state estimation problem in geomagnetic navigation, the unscented particle filter (UPF) was introduced to navigation system. The simulation indicates that geomagnetic navigation using UPF could complete the position estimation with large initial horizontal position errors. However, this navigation system could only provide the position information. To provide all the kinematics states estimation of aircraft, a novel autonomous navigation algorithm,named unscented particle and Kalman hybrid navigation algorithm (UPKHNA), was proposed for geomagnetic navigation. The UPKHNA used the output of UPF and barometric altimeter as position measurement, and employed the Kalman filter to estimate the kinematics states of aircraft. The simulation shows that geomagnetic navigation using UPKHNA could provide all the kinematics states estimation of aircraft continuously, and the horizontal positioning performance is better than that only using the UPF. 作者: Author: LI Ming-ming  LU Hong-qian  YIN Hang  HUANG Xian-lin 作者單位: Center for Control Theory and Guidance Technology,Harbin Institute of Technology,Harbin 150001,China 期 刊: 中南大學(xué)學(xué)報(英文版)   EISCI Journal: JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY(ENGLISH EDITION) 年,卷(期): 2011, 18(3) 分類號: V249.32 Keywords: autonomous navigation    geomagnetic navigation    unscented particle filter    Kalman filter    kinematics state estimation    機(jī)標(biāo)分類號: V44 P22 機(jī)標(biāo)關(guān)鍵詞: navigation system    kinematics    autonomous navigation    the Kalman filter    state estimation    particle filter    UPF    performance    initial    However    hybrid    better    novel 基金項目: The Fundamental Research Funds for the Central Universities of China

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