Simulation and analysis of turbulence signals in airborne pulse Doppler radar

Xiao Yang Liu, Yong Li, Yu Feng Cheng

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In order to analyze the characteristic of turbulence, detect the signal of turbulence efficiently and further research the influence of the ground clutter on detecting turbulence, the corresponding turbulence model is established. The wind speed and spectral width of the turbulence echo signal are computed and simulated by using the fast Fourier transform (FFT) algorithm. A new FFT algorithm used for turbulence signal processing is proposed, where the wind velocity and spectrum width of the turbulence, the minimum signal detection threshold and relevant variables are newly defined. The simulation results show that the wind speed of turbulence has a pulsative feature, and the FFT algorithm can perfectly estimate the distribution of wind speed in the wind field of turbulence. The wind speed and spectral width of the echo signal of turbulence under a non-ground clutter condition are superior to that with ground clutter conditions.

Original languageEnglish
Pages (from-to)920-924
Number of pages5
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume34
Issue number5
DOIs
StatePublished - May 2012

Keywords

  • Doppler spectrum shift
  • Fast Fourier transform (FFT)
  • Spectrum width
  • Wind velocity

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