扫描模式航管监视雷达风电场杂波检测与抑制

doi:10.7527/S1000-6893.2015.0232

Abstract

Abstract:

In recent years, the global wind power installed capacity is growing exponentially. Studies have shown that wind farms will have a serious impact on air traffic control (ATC) surveillance radar located nearby. Effective detection and mitigation of the wind turbine clutter is significant for ensuring the safety of air traffic. Firstly, the wind turbine clutter detection technology based on spectrum width is proposed under the radar scanning mode. For the problem that the Doppler frequency resolution of ATC surveillance radar echoes under scanning mode is low, super-resolution technology based on the Autoregressive (AR) model and the mass center notion are applied to the estimation of spectrum width and spectrum center, which improve the estimation accuracy of spectrum width. Secondly, for the problem that wind turbine clutter under scanning mode is not a complete cycle, gapped-data amplitude and phase estimation (GAPES) algorithm is applied to filling the gapped-data of wind turbine clutter successfully, then wind turbine clutter mitigation method based on its periodical characteristics is used to mitigate the wind turbine clutter. The algorithm implements the effective detection and mitigation of the wind turbine clutter and is not limited to the situation of aircraft and wind turbine in the same range bin. Simulation results verify the effectiveness of the proposed method.

Key words: ATC surveillance radar, wind turbine clutter, spectrum width, GAPES, clutter mitigation

CLC Number:

V443⁺.2

HE Weikun, ZHAI Qiuping, WANG Xiaoliang, WU Renbiao. Wind turbine clutter detection and mitigation in scanning ATC surveillance radar[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(4): 1316-1326.

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Wind turbine clutter detection and mitigation in scanning ATC surveillance radar

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