Inertial navigation system positioning assisted by star sensor

Du, Haibo; Sun, Qian; Zhang, Ya; Zhao, Qing; Wen, Ya

doi:10.1109/iccais.2016.7822457

Cited by 1 publication

(1 citation statement)

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“…It is of great significance to having alternative terrestrial backup system to cope with a glitch or even a complete failure of GNSS [ 1 ]. Several navigation systems for maritime applications are developed, including the e-Loran system [ 2 , 3 , 4 , 5 ], inertial navigation system [ 6 , 7 ], terrain referenced navigation system [ 8 ], vessel traffic service and coastal surveillance system [ 9 ], etc. In the world-wide radio navigation plan (WWRNP) developed by the IMO and the International Association of Lighthouse Authorities (IALA), the ranging mode (R-Mode) based on the automatic identification system (AIS) as a ground-based alternative system to GNSS is listed explicitly.…”

Section: Introductionmentioning

confidence: 99%

An Improved Positioning Method for Two Base Stations in AIS

Jiang

Zhang

2018

Sensors

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Resilient position, navigation, and timing (PNT) data is indispensable information in the field of e-navigation. An automatic identification system (AIS) based ranging mode (R-Mode) is put forward to develop a terrestrial backup system in order to overcome the vulnerability of the global navigation satellite system (GNSS). In general, at least three base stations are required in the traditional R-Mode positioning method. However, the geometric distribution of existing base stations is not considered for positioning, as AIS is a communication system. In some cases, a vessel can only receive signals from two base stations. In this paper, an improved position estimation method based on displacement correction is therefore proposed to solve this problem. Compared with the prior displacement correction position estimation (DCPE) method, the proposed method can improve positioning accuracy effectively by adopting a more precise motion model for the vessel, including an accelerated motion and a turning motion model. Moreover, the motion model is employed adaptively to correct the displacement of the vessel. Finally, the proposed method is verified and the performance is analyzed and compared by simulation. This study can extend the application region of AIS R-Mode.

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