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2020 | OriginalPaper | Chapter

Research on Key Technology of Multi-channel Time-Frequency Signals Monitoring and Early Warning

Authors : JianJun Zheng, Ying Shen, Dan Zhang, XiaoHui Song, ShaoLiang Chang, Ming Mi

Published in: China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume III

Publisher: Springer Singapore

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Abstract

In view of the difficulty in monitoring, evaluating and early warning of multi-channel time-frequency signals, this paper designed and developed a multi-channel time-frequency signal monitoring, evaluating and early warning system based on user datagram protocol. The design about the hardware and software architecture of system are introduced in detail. Considering the needs for practical engineering. This paper focuses on the study of some of key technologies. The working principle, design and implementation methods for multi-channel time-frequency measuring instrument is given. Research on time-frequency signal monitoring and early-warning method based on least squares support vector machine (LSSVM) method. The system has been applied to monitor and evaluate key time-frequency signals of BDS ground station; it was used to provide supporting data for analyzing, locating, handling failures of navigation equipment. System application result demonstrates that the signal monitoring accuracy of system has reached the design goal and achieved the expected function successfully.

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Metadata
Title
Research on Key Technology of Multi-channel Time-Frequency Signals Monitoring and Early Warning
Authors
JianJun Zheng
Ying Shen
Dan Zhang
XiaoHui Song
ShaoLiang Chang
Ming Mi
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-3715-8_3