摘要
准确获取风电机叶片雷达回波及其微多普勒特征是解决风电场对雷达台站无源干扰的关键问题。针对现有散射点积分算法的假设缺陷,引入散射中心的概念,提出一种将叶片整体回波等效为若干散射中心回波贡献集的思想,实现了叶片回波的准确求解。采用旋转不变技术信号参数估计法,求解叶片散射中心的位置和散射强度参数,从而在三维坐标系中建立叶片的散射中心等效模型。基于电波暗室,开展风电机缩比模型实验,表明散射中心的测量结果与仿真结果具有相同的分布规律。基于该等效模型,推导叶片时域回波表达式,并采用短时傅里叶变换法,实现叶片回波的微多普勒特征分析,为风电机杂波滤除提供理论参考。
The accurate radar echo simulation of wind turbine blades to acquire the micro-Doppler characteristics is the key issue to decrease the reradiation interference from wind farm on radar station. For the hypothetical defects of the existing scattering point integration algorithm, the concept of scattering center was introduced, and then an idea was proposed, which the overall echo of blades is equivalent to a number of echo contributions from the scattering center. Hence, the accurate simulation of blades echo was achieved. Using the estimated signal parameters via rotational invariance technique method, the position and scattering intensity parameters of the scattering center of the blade were calculated, and the equivalent model of the scattering center of blade was established in three-dimensional coordinate system. Based on the anechoic chamber, a wind turbine scaling model experiment was carried out, which showed that the measurement results of the scattering center have same distribution law from the simulation results. Finally, based on the equivalent model, the time domain echo expression of the blade was derived, and the short-time Fourier transform method was used to realize the micro-Doppler characteristics analysis of blade echo, which provides a theoretical reference for wind turbine clutter filtering.
作者
唐波
陈昊
黄力
袁发庭
奉彭
李耀伟
TANG Bo;CHEN Hao;HUANG Li;YUAN Fating;FENG Peng;LI Yaowei(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,Hubei Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2019年第24期7375-7384,共10页
Proceedings of the CSEE
基金
国家自然科学基金项目(51977121)
电网环境保护国家重点实验室基金(GYW51201901075)~~
关键词
无源干扰
风电机叶片雷达回波
微多普勒
散射中心
散射点积分算法
reradiation interference
wind turbine blade radar echo
micro-Doppler
scattering center
scattering point integration algorithm