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Study on Judgment Method of Signal Correlation Performance Based on Complex Correlation Vector

  • Ying WangEmail author
  • Zhe Su
  • Yansong Meng
  • Xiaoxia Tao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 340)

Abstract

For a long time, the satellite navigation signals are performed in a relatively simple BPSK or QPSK modulation of pseudo code and data for loading data information and time information. However, since the USA GPS modernization, the European Galileo satellite navigation system begins to demonstrate, new ideas and new methods for design and receiving signal appear continuously. With the use of AltBOC baseband signal form, we urgent need more complete presentation of a signal related performance. In this paper, the processing of traditional signal and the complex baseband signal was analysed. And the method of complex correlation vector diagram was studied for judgment signal correlation performance. The correlation vector analysis method is given in the process of receiving the actual signal. The method and result provides performance analysis guide for receiving the navigation signals by jointing I and Q branch and receiving full bandwidth AltBOC signal.

Keywords

Correlation Satellite navigation Navigation signal 

References

  1. 1.
    Tan S, Zhou B, Guo S, Liu Z (2010) Design of China global satellite navigation signals. In: CSNC 2010, BeijingGoogle Scholar
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    Zhou Y, Hu X, Tang Z, Ke T (2011) Tracking performance analysis for BOC signals based on pseudo correlation function method. J Astronaut 32(12):128–134Google Scholar
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    Chen H, Wang R, Jia W, Yao M (2012) Combined-correlation-function-based unambiguous tracking method for Cosine-BOC signals. Syst Eng Electron 34(6):212–218Google Scholar
  4. 4.
    Li C, Wang F, Guo G (2007) Correlation of PN spread spectrum signal under first-order dynamics. Acta Electronica Sinica 35(9):102–109Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.China Academy of Space Technology (Xi’an)Xi’anChina

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