Abstract
Recently, X-ray pulsar-based navigation (XPNAV) as a significant navigation method has been widely used in deep space exploration. However, the accuracy of XPNAV is limited to the existence of the pulsar direction error. To improve the performance of XPNAV, we have proposed a novel algorithm named “the modified augmented state extended Kalman filter” (MASEKF). The algorithm considers the high-order terms of direction error and then adds a more precise direction error into state equation and measurement equation. In the simulation, by comparing the performance of MASEKF, EKF, and ASEKF at the same time, it is found that MASEKF has better performance in the accuracy and stability, and the results also demonstrate that MASEKF algorithm has faster convergence speed. This paper provides a strong reference for other improvements of algorithms towards direction error. The purpose of this study is to establish MASEKF and add the direction error into the measurement equation and the state equation, so as to realize the coordination and symmetry of the algorithm.
Highlights
Over the past decades, the Global Positioning System (GPS), a well-known navigation method, has been performing well in low Earth orbit (LEO) satellite navigation [1]
In order to further discuss the effectiveness and performance of the proposed algorithm, extended Kalman filter algorithm (EKF) and ASEKF were simulated at the same time, and all simulation results were analyzed in detail
modified augmented state extended Kalman filter” (MASEKF) algorithm is proposed based on the ASEKF algorithm, which expands the
Summary
The Global Positioning System (GPS), a well-known navigation method, has been performing well in low Earth orbit (LEO) satellite navigation [1]. It provides users with real-time position and speed information. Unaffected by the weather, the positioning accuracy of the single machine is better than 10 m. The dominant application and high precision of GPS have strongly impressed people. The GPS signal is designed to transmit information toward the earth; the dominating advantage of GPS cannot be used well in in-depth space exploration. GPS cannot provide autonomous navigation information services for spacecraft flying in interstellar space [2]
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