基于微多普勒特征的风轮机雷达杂波检测

发布时间：2018-08-08 10:57

【摘要】：作为一种清洁能源和可再生能源的形式,近年来风能受到了全球各国的普遍关注,风轮机会对其附近的航管监视雷达产生不利影响。风轮机雷达杂波检测技术的研究,对于保障民航飞机的空中交通安全起着重要作用。提出了一种基于风轮机雷达回波微多普勒特征的杂波检测方法,该方法利用风轮机与雷达波束不同位置条件下风轮机杂波的微动特征实现风轮机杂波的检测。对检测出的存在风轮机杂波的距离单元进一步判断是否存在飞机目标,进而只需对存在飞机目标的距离单元进行杂波抑制。仿真结果表明该算法能够实现风轮机雷达杂波的有效检测。
[Abstract]:As a kind of clean energy and renewable energy, wind energy has been paid more and more attention all over the world in recent years. Wind turbine opportunities have a negative impact on the nearby ATC surveillance radar. The research of wind turbine radar clutter detection technology plays an important role in ensuring the air traffic safety of civil aviation aircraft. A method for detecting wind turbine clutter based on micro-Doppler characteristics of wind turbine radar echo is presented. The method uses the fretting feature of wind turbine clutter under different positions of wind turbine and radar beam to detect wind turbine clutter. The detected distance unit with wind turbine clutter is further used to determine whether there is an aircraft target or not, and it is only necessary to suppress the clutter of the distance unit with the presence of the aircraft target. Simulation results show that the algorithm can effectively detect the radar clutter of wind turbine.
【作者单位】：中国民航大学天津市智能信号与图像处理重点实验室;
【基金】：国家自然科学基金委员会与中国民航局联合资助项目(U1533110) 国家自然科学基金(61571442) 中国民用航空局空中交通管理局科技计划项目(大型风电场及风电设备对民航空管设备的影响评估研究) 中央高校基本科研业务费项目(3122015D005)
【分类号】：TN957.51

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