Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (1): 52-60.doi: 10.3969/j.issn.1001-506X.2020.01.08

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Wind shear warning algorithm based on PCA and phase difference correction

Yuzhao MA(), Nan CHEN(), Xinglong XIONG()   

  1. Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
  • Received:2019-07-02 Online:2020-01-01 Published:2019-12-23
  • Supported by:
    国家自然科学基金(U1833111);中央高校基本科研业务费专项资金(3122018D001)

Abstract:

In order to improve the early warning rate of coherent lidar wind shear warning algorithm, a wind shear warning algorithm based on principal component analysis (PCA) and the phase difference correction method is proposed. Firstly, PCA is used to extract the low-order principal component vectors of radar echo signals in order to reconstruct the signal and improve the signal-to-noise ratio. Then, the peak frequency of the echo signal is corrected by the phase difference correction method based on fast Fourier transform to reduce the energy leakage of the echo signal. The performance of the algorithm is evaluated by using the experimental data of rotary motors and small aircraft respectively. The results show that the average absolute error of estimating the peak frequency of the coherent lidar echo signal is 0.26 MHz, and the early warning rate of actual low-altitude wind shear is 92.31%. This algorithm can effectively reduce the frequency estimation error of the coherent lidar echo signal and realize the early warning of low-altitude wind shear.

Key words: coherent lidar, wind shear warning, principal component analysis (PCA), phase difference correction method

CLC Number: 

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