Research Into a Recovery Method of GNSS Authorized Service Signal Component | Zendy

Wei Xiao | Zendy; Wenxiang Liu | Zendy; Weihua Mou | Zendy; Ling Yong | Zendy; Guangfu Sun | Zendy

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Research Into a Recovery Method of GNSS Authorized Service Signal Component

Author(s) -

Wei Xiao,

Wenxiang Liu,

Weihua Mou,

Ling Yong,

Guangfu Sun

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2839679

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

A code recovery method of a global navigation satellite system (GNSS) authorized service (AS) signal component is described under the condition of a high signal-to-noise ratio. The correctness of the spreading code verification can be used to monitor the health status of satellite payloads. Pseudo code recovery is a precondition to verify the validity of pseudo code. For a specified GNSS signal multiplexing approach, the distribution of baseband signal phase points on a constellation diagram is established. The open service signal component and the AS signal component correlate with each other on the unit circle. By wiping off the signal carrier, each signal component can be recovered according to the phase table of the transmitted signal. Different states of the global positioning system L1 signal is introduced, and the AS signal component recovery performance under different constant enveloping modulations is analyzed. This paper provides a reference for the analysis, evaluation, and system optimization design of a GNSS signal. Relevant research results can be applied to satellite signal quality monitoring and electronic reconnaissance.

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