Real-time marine PPP-B2b/SINS integrated navigation based on BDS-3

Li, Ming; Chai, Hongzhou

doi:10.1088/1361-6501/acdb8c

Cited by 2 publications

(1 citation statement)

References 29 publications

(25 reference statements)

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“…The BeiDou Navigation Satellite System [1] (BDS) is an independently developed and operated navigation system by China. It integrates navigation positioning, user detection, standard timing, and short message communication.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Lossless Compression Algorithm for Maritime Safety Information Using Byte Encoding Network

Hu,

Gao,

Jin

et al. 2024

JMSE

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The short message function of the BeiDou satellite system, due to its strong concurrent processing capabilities, can quickly and accurately send information to the target location in emergency situations. However, because of data redundancy and limitations on message length, a single piece of information often requires multiple transmissions through BeiDou short messages to be completed, resulting in limited transmission capacity. To improve the transmission capacity of information, it is necessary to compress the information during transmission using BeiDou’s short message communication function for maritime safety information. This paper proposes a Byte Encoding-enhanced Prediction by Partial Matching, variant D (BPPMd) algorithm that is particularly suitable for transmitting maritime safety information. Combined with a maritime safety information encoding algorithm (ME), it further improves compression efficiency, optimizes byte space, reduces information redundancy, and ensures the accuracy of the information. In this study, we constructed a maritime safety information dataset that includes three categories of information: meteorological warnings, navigation warnings, and disaster warnings. Experimental results show that the proposed algorithm is particularly suitable for compressing the maritime safety information dataset and outperforms other benchmark algorithms. Therefore, this study indicates that the proposed lossless compression method can be a feasible and effective solution for BeiDou short message communication.

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Section: Introductionmentioning

confidence: 99%

An Efficient Lossless Compression Algorithm for Maritime Safety Information Using Byte Encoding Network

Hu,

Gao,

Jin

et al. 2024

JMSE

View full text Add to dashboard Cite

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Precipitable water vapor retrieval for rainfall forecasting using BDS-3 PPP-B2b signal in the coastal region of China

Xu,

Zhao,

Wang

2024

Meas. Sci. Technol.

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Currently, rainfall cannot be accurately forecasted due to poor network communication at ocean. The advantage of the BeiDou Global Navigation Satellite System (BDS-3) PPP-B2b signal, which does not rely on network communication to receive data, can provide Precipitable Water Vapor (PWV) retrieval application services for the open seas in eastern China where communication system is difficult. In this study, the data from the stations in the coastal region of China are used to establish a rainfall forecasting method for monitoring the extreme weather on the sea. Firstly, the service performance of the PPP-B2b is explored. Then, based on 17 Chinese coastal stations, the PWV accuracy is evaluated. Finally, based on the analysis of the relationship between PWV and actual rainfall, a threshold rainfall forecasting method based on sliding window is constructed. The experimental results show that: the PWV accuracy varies slightly depending on the geographic location, in which the mean absolute error (MAE) in the North Sea region is the smallest of 2.1mm, the South China Sea region is the largest of 2.60mm, and the East China Sea region is in the middle of the PWV accuracy of 2.48mm; the optimal predictors of the constructed 12-h sliding-window threshold rainfall prediction method are PWV maximum of 49 mm, PWV increase of 5 mm and PWV increase rate of 1.2 mm/h. The prediction results can reach a Critical Success Index (CSI) value of more than 45%, which has high prediction accuracy and applicability to the coastal region of China in the same period.

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Real-time marine PPP-B2b/SINS integrated navigation based on BDS-3

Cited by 2 publications

References 29 publications

An Efficient Lossless Compression Algorithm for Maritime Safety Information Using Byte Encoding Network

An Efficient Lossless Compression Algorithm for Maritime Safety Information Using Byte Encoding Network

Precipitable water vapor retrieval for rainfall forecasting using BDS-3 PPP-B2b signal in the coastal region of China

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