Distributed Orbit Determination Based on Increased Measurement Covariance EKF for Global Navigation Satellite System with Inter-satellite Link

Xue, Kaiping; Wen, Yuanlan; Liao, Ying; Song, Yisheng; Su, Tianxiang; Zhang, Zhi

doi:10.1007/978-3-662-46632-2_25

Cited by 1 publication

(2 citation statements)

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“…In China, distributed orbit determination and time synchronization algorithms based on ISL measurements were studied [15,16,17,18,19,20,21]. Distributed autonomous ephemeris updating was discussed for navigation satellites [22].…”

Section: Overview Of Orbit Determination Algorithmsmentioning

confidence: 99%

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Distributed Orbit Determination for Global Navigation Satellite System with Inter-Satellite Link

Wen

Zhu

Gong

et al. 2019

Sensors

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To keep the global navigation satellite system functional during extreme conditions, it is a trend to employ autonomous navigation technology with inter-satellite link. As in the newly built BeiDou system (BDS-3) equipped with Ka-band inter-satellite links, every individual satellite has the ability of communicating and measuring distances among each other. The system also has less dependence on the ground stations and improved navigation performance. Because of the huge amount of measurement data, the centralized data processing algorithm for orbit determination is suggested to be replaced by a distributed one in which each satellite in the constellation is required to finish a partial computation task. In the present paper, the balanced extended Kalman filter algorithm for distributed orbit determination is proposed and compared with the whole-constellation centralized extended Kalman filter, the iterative cascade extended Kalman filter, and the increasing measurement covariance extended Kalman filter. The proposed method demands a lower computation power; however, it yields results with a relatively good accuracy.

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Section: Overview Of Orbit Determination Algorithmsmentioning

confidence: 99%

“…In some situations, iteration may not be required [ 18 ]. To summarize, compared to ICEKF, the IMCEKF is a reduced-order approach and needs to transmit not only the local state vector but also its covariance matrix to the other satellites.…”

Section: Distributed Orbit Determinationmentioning

confidence: 99%