基于一阶谱信息的单站高频地波雷达风速提取

发布时间：2018-04-16 20:25

本文选题：高频地波雷达 + 一阶谱　；参考：《中国海洋大学学报(自然科学版)》2017年02期

【摘要】：单站高频地波雷达反演风速通常需要利用二阶谱信息,但利用二阶谱信息进行风速反演的距离较小,不能满足远距离风速反演的需求。本文首先对高频地波雷达一阶谱与风速间的相关性进行了分析,在此基础上,基于一阶谱信息,利用极限学习机(ELM)方法对不同站点和不同频率的雷达获得的实测数据进行了风速反演。结果表明,利用极限学习机方法对实测数据获得的风速结果能够体现风速变化的趋势,两批数据反演结果的相关系数分别是0.46和0.42,均方根误差分别为1.93和1.89m/s。尽管其相关系数较低,但均方根误差可以接受,说明利用单站雷达一阶谱信息来进行风速反演是可行的。
[Abstract]:The second order spectral information is usually used to retrieve wind speed by single station high frequency ground wave radar, but the range of wind speed inversion based on second order spectrum information is small, which can not meet the demand of long range wind speed inversion.In this paper, the correlation between the first order spectrum and wind speed of high frequency ground wave radar is analyzed, and based on the first order spectrum information,The wind speed inversion of radar data obtained from different stations and different frequencies is carried out by using the extreme learning machine (ELM) method.The results show that the wind speed obtained by using the LLM method can reflect the trend of wind speed change. The correlation coefficients of the two data inversion results are 0.46 and 0.42 respectively, and the root mean square error is 1.93 and 1.89 m / s, respectively.Although the correlation coefficient is relatively low, the root mean square error is acceptable, which indicates that it is feasible to use the first order spectral information of a single station radar for wind speed inversion.
【作者单位】：中国海洋大学信息科学与工程学院;中船重工鹏力(南京)大气海洋系统有限公司;
【基金】：海洋公益性行业科研专项项目(201505002) 国家自然科学基金项目(61671166)资助~~
【分类号】：TN958

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