Wind turbine signal modelling approach for pulse Doppler radars and applications

Wind turbine signal modelling approach for pulse Doppler radars and applications
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DOI:
10.1049/iet-rsn.2014.0094
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发表时间:
2015-03-01
影响因子:
1.7
通讯作者:
Kent, Sedef
Kent, Sedef
中科院分区:
计算机科学4区
文献类型:
--
作者:
Karabayir, Osman;Yucedag, Senem Makal;Kent, Sedef

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近年来,世界各地对风电场安装的需求很大。然而,人们已经很好地认识到,风力涡轮机(WTS)由于其散射和运动特性,可能会对雷达系统造成严重干扰。本文提出了一种新的脉冲多普勒雷达信号模型,该模型考虑了脉冲多普勒雷达的时变散射和复杂的运动特性。利用该模型,给出了小波检测、小波检测概率分布的构造以及小波附近目标检测性能评估等应用实例。在此基础上,建立了小波杂波信号的解析和概率模型。本研究中提出的信号模型、应用和WTC模型将有助于在缓解或其他克服WT效应的高级过程之前确定WT对PDR的恶化影响。
Recently, there have been great demands on wind farm installations all over the world. However, it has been well recognised that wind turbines (WTs) may cause severe interferences on radar systems because of their scattering and motional behaviour. In this study, a novel signal model for pulse-Doppler radars (PDRs) which considers time-varying scattering and complicated motional characteristics of WTs is introduced. Using the proposed model, some applications including WT detection, construction of WT detection probability distribution and assessment of the detection performance of a target in the vicinity of a WT are demonstrated. In addition, an analytical and probabilistic model for WT clutter (WTC) is developed with the help of the proposed signal model. The signal model, applications and WTC model put forth within this study would be helpful in determining the deteriorating WT effects on PDRs before mitigation or other advanced processes to overcome WT effects.