Article

Modeling on Autonomous Navigation of Mars Probe with Pulsars and Nonreal-Time Adjustment Methods

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  • 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
    2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;Department of Geomatics Engineering, University of Calgary, Calgary T2N 1N4, Canada
    3. GNSS Center, Wuhan University, Wuhan 430079, China
    4. Chinese Academy of Surveying and Mapping, Beijing 100830, China

Received date: 29 Jul 2014

Revised date: 09 Aug 2014

Abstract

To investigate the autonomous navigation of probe orbiting the Mars orbit X-ray pulsars, different real-time adjustment methods are applied in this paper, including the extended Kalman filter (EKF), adaptive extended Kalman filter (AEKF) and robust adaptive extended Kalman filter (RAEKF). Firstly, the observation data, i.e., time of arrival, is simulated according to the principles of pulsars navigation. Secondly, extended Kalman filter (EKF), adaptive extended Kalman filter (AEKF) and robust adaptive extended Kalman filter (RAEKF) are used to get the position and velocity of the probe. Thirdly, the adjustment results are compared with the orbit generated by STK, the results show AEKF and RAEKF performs better than EKF, the result of AEKF is better than the km level of VLBI and can reach the precision level of triple pass Doppler, leveling at 94.1 m in X-axis, 19.5 m in Y-axis and 22.3 m in Z-axis.

Cite this article

WEI Erhu, YANG Hongzhou, ZHANG Shuai, LIU Jingnan, YI Hui . Modeling on Autonomous Navigation of Mars Probe with Pulsars and Nonreal-Time Adjustment Methods[J]. Journal of Deep Space Exploration, 2014 , 1(4) : 298 -302 . DOI: 10.15982/j.issn.2095-7777.2014.04.009

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