Abstract
BeiDou-3 satellites have short-message communication capabilities, which are not available in other navigation systems. However, the information transmission capacities of BeiDou-3 satellites are limited, which means that the string length of a single transmission is restricted. To improve transmission performance, this paper proposes a lossy data compression algorithm to transmit ship data. First, due to the large amount of measurement noise in the ship data and the difficulty of adaptively adjusting the compression threshold of the swinging door trend, a dynamic threshold adjustment strategy based on model-free adaptive control is designed. Furthermore, because the performance of the strategy depends on the initial value, chaos multilayer particle swarm optimization is employed to optimize the strategy and achieve better generalization and convergence performance. In addition, this paper introduces an experimental system and uses real ship motor vibration and electromagnetic radiation data to verify the compression algorithm. The experimental results indicate that the proposed algorithm displays reasonable performance. Presently, the system designed in this paper has been operating stably for more than six months.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China subsidization project (51579047), Natural Science Foundation of Heilongjiang Province (QC2017048), Natural Science Foundation of Harbin (2016RAQXJ077), and fundamental research funds for the central universities.
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Di Wu conceived the idea and designed the experiments with Hongfang Sun. Di Wu and Lanyong Zhang wrote the main manuscript and reviewed the paper. All components of this research were carried out under the supervision of Sheng Liu.
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Wu, D., Liu, S., Sun, H. et al. Short-message communication Lossy data compression algorithm for BeiDou-3 satellite information transmission. Multimed Tools Appl 81, 12833–12855 (2022). https://doi.org/10.1007/s11042-022-12467-1
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DOI: https://doi.org/10.1007/s11042-022-12467-1