软件导刊2024，Vol.23Issue(12)：106-111,6.DOI:10.11907/rjdk.232099
基于扩展卡尔曼滤波算法的梯度VAD技术
Gradient VAD Technology Based on Extended Kalman Filter Algorithm
摘要
Abstract
Gradient VAD technology is proposed to overcome the significant impact of velocity ambiguity on traditional VAD techniques.How-ever,during the use of gradient VAD technology,errors or noise in radial velocity can be amplified in the radial velocity azimuth gradient.Therefore,low-pass filtering is usually used to smooth the radial velocity azimuth gradient.However,it still has a serious impact on the accu-racy of horizontal wind inversion.This article proposes to use the extended Kalman filter(EKF)algorithm to process the radial velocity gradi-ent in the azimuth direction.The results show that theextended Kalman filter algorithm can effectively reduce the influence of small fluctua-tions and noise in the radial velocity gradient in the azimuth direction,thereby improving the horizontal accuracy of wind field inversion.In this article,the Xiamen SA band Doppler radar data was preprocessed twice with velocity un deblurring and velocity de deblurring,and then compared with low-pass filtering and EKF.The results showed that the variance of EKF algorithm compared with low-pass filtering algorithm was reduced by about 40%and 50%respectively in the process of velocity de deblurring and non thrust blur data processing.This indicates that the radial velocity gradient after EKF processing is more stable,thus improving the inversion accuracy of gradient VAD technology.关键词
扩展卡尔曼滤波算法/梯度VAD/多普勒天气雷达/风场反演/低通滤波Key words
extended Kalman filter algorithm/gradient VAD/Doppler weather radar/wind field inversion/low-pass filtering分类
天文与地球科学引用本文复制引用
魏敏,谭思俊..基于扩展卡尔曼滤波算法的梯度VAD技术[J].软件导刊,2024,23(12):106-111,6.基金项目
四川省科技计划项目(2023YFQ0072) （2023YFQ0072）
