基于波数能量谱的海面风向反演算法

发布时间：2019-03-30 19:15

【摘要】：为提高应用X波段导航雷达反演海面风向的适用性和精度,针对现有局部梯度法反演海面风向存在无法自动寻找到合适的缩减图像分辨率,导致风向反演结果不稳定的问题,提出基于波数能量谱的海面风向反演算法.首先,应用风场成像特征,将包含风条纹的海面静态特征提取出来;其次,应用二维离散傅里叶变换获得海面静态特征的能量谱;最后,利用风条纹尺度特性,构建波数能量谱带通滤波器,将风条纹能量谱提取出来,从而得到海面风向.通过实验将本文算法、局部梯度法与风向标实测数据比较分析,表明本文算法反演适用性达到99%,反演精度提高了58.97%.
[Abstract]:In order to improve the applicability and accuracy of using X-band navigation radar to retrieve sea surface wind direction, aiming at the existing local gradient method to retrieve sea surface wind direction, it is impossible to find a suitable reduced image resolution automatically, which leads to the instability of wind direction inversion results. A sea surface wind direction inversion algorithm based on wavenumber energy spectrum is proposed. Firstly, the wind field imaging features are used to extract the static features of the sea surface including the wind fringes, secondly, the energy spectrum of the sea surface static features is obtained by using the two-dimensional discrete Fourier transform (DFT). Finally, the band-pass filter of wavenumber energy spectrum is constructed by using the scale characteristics of wind fringes, and the energy spectrum of wind fringes is extracted so as to obtain the wind direction of the sea surface. The comparison and analysis of the algorithm, the local gradient method and the measured data of the wind vane show that the applicability of the proposed algorithm is 99%, and the inversion accuracy is improved by 58.97%.
【作者单位】：哈尔滨工程大学自动化学院;
【基金】：国家自然科学基金资助项目(61203225) 海洋公益性行业科研专项经费资助项目(201405022-1) 国防重点型号科研资助项目
【分类号】：P714.2;TN958

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