Volume 43 Issue 8
Aug.  2017
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QI Yongqiang, ZHANG Bo, YANG Dongkai, et al. GNSS sea surface reflection signal modeling method based on principle of bistatic radar[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(8): 1610-1615. doi: 10.13700/j.bh.1001-5965.2016.0631(in Chinese)
Citation: QI Yongqiang, ZHANG Bo, YANG Dongkai, et al. GNSS sea surface reflection signal modeling method based on principle of bistatic radar[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(8): 1610-1615. doi: 10.13700/j.bh.1001-5965.2016.0631(in Chinese)

GNSS sea surface reflection signal modeling method based on principle of bistatic radar

doi: 10.13700/j.bh.1001-5965.2016.0631
Funds:

National Natural Science Foundation of China 61171070

More Information
  • Corresponding author: YANG Dongkai, E-mail:yangdongkai@sina.com
  • Received Date: 28 Jul 2016
  • Accepted Date: 02 Sep 2016
  • Publish Date: 20 Aug 2017
  • In the application of global navigation satellite system-reflection(GNSS-R) technology, the reflection signal source is needed to test the receiver in order to reduce costs. The signal model is the core of GNSS-R signal source. In order to solve the problem of the lack of corresponding model, this paper presents a method of establishing GNSS sea surface reflection signal model based on the principle of bistatic radar. First, on the basis of analyzing the characteristics of GNSS sea surface reflection signal, sea surface reflection points were selected. Then, the scattering coefficient and the scattering area in the radar equation were calculated. Thus, the reflected signal power in corresponding reflection point was obtained. Finally, reflection signal parameters are simulated and verified. The simulation results indicate that the correlation coefficient of the signal correlation power curve and the theoretical curve of the ZV model is better than 0.98, which can be used to generate the GNSS ocean reflection signal effectively. The approach is of important reference significance for the theory and the development of GNSS-R signal generator.

     

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