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2018 | OriginalPaper | Buchkapitel

35. A Real-Time Classification Algorithm for Multi-Velocity Measuring Data

verfasst von : Xiaohu Liang, Hua Zhao, Jiagui Huang

Erschienen in: Proceedings of the 28th Conference of Spacecraft TT&C Technology in China

Verlag: Springer Singapore

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Abstract

This paper proposes a new real-time classification algorithm for multi-velocity measuring data under the response mode to improve the target trajectory stability. First, this paper analyses the defects of the existing method. Second, it designs a new classification algorithm which can classify the response data, the beacon data and the abnormal data. The key of the new algorithm is the selection of suitable classification references. The theoretical trajectory and the classified real measuring data at the historical moment are used as the classification references in different situations. Finally, validate the new algorithm with two kinds of typical real measuring data corresponding to two kinds of master stations configuration mode, the result shows that the algorithm can classify the three kinds of data correctly. On this basis, the real-time trajectory calculated is smooth and continuous and the data utilization is evidently increased. Therefore, the new classification algorithm of this paper is better than the existing method, which has guiding significance for improving the real-time data classification in different measuring systems.

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Metadaten
Titel
A Real-Time Classification Algorithm for Multi-Velocity Measuring Data
verfasst von
Xiaohu Liang
Hua Zhao
Jiagui Huang
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-4837-1_35

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