风电场雷达杂波动态重构抑制方法

doi:10.7527/S1000-6893.2019.23269

Abstract

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.

Key words: wind turbine, clutter suppression, micro-Doppler, parametric estimation, sparse reconstruction

CLC Number:

V433⁺.2

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.

References 23

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Wind turbine clutter suppression method based on dynamic reconstruction

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