Electronics and Electrical Engineering and Control

Wind turbine clutter suppression method based on dynamic reconstruction

  • HU Xuchao ,
  • TAN Xiansi ,
  • QU Zhiguo ,
  • LUO Yi ,
  • CHI Pengfei
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  • 1. NO.3 Department, Air Force Early Warning Academy, Wuhan 430014, China;
    2. School of Information and Communication, Harbin Engineering University, Harbin 150000, China

Received date: 2019-07-09

  Revised date: 2019-07-22

  Online published: 2019-10-24

Supported by

National Natural Science Foundation of China (61401504)

Abstract

With the wide-scale construction of wind farms, the interference problem of the Wind Turbine Clutter (WTC) on radar detection is becoming more and more serious, but the conventional clutter suppression method is difficult to solve this problem. Therefore, this paper proposes a wind turbine clutter suppression method using dynamic dictionary to sparse reconstruction. Firstly, the radar signal model under the WTC is established and the signal characteristics of wind turbine clutter are analyzed. Secondly, a rough estimation method of micro-motion parameters is proposed based on the time-frequency characteristics of WTC. Based on the rough estimation results, the range of dictionary sparse reconstruction parameter is reduced. On this basis, the dictionary is dynamically generated by the Orthogonal Matching Pursuit (OMP) algorithm to update the basis step by step. Finally, the sparse reconstruction of the WTC is realized by the dynamic dictionary to achieve the purpose of suppressing the WTC. Through the simulation, the influence of wind turbine clutter on the target detection is analyzed, and the effectiveness of the WTC suppression method based on dynamic sparse reconstruction in different situations is proved.

Cite this article

HU Xuchao , TAN Xiansi , QU Zhiguo , LUO Yi , CHI Pengfei . Wind turbine clutter suppression method based on dynamic reconstruction[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020 , 41(1) : 323269 -323269 . DOI: 10.7527/S1000-6893.2019.23269

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