基于白化滤波的多普勒天气雷达谱矩估计改进方法

发布时间：2018-03-03 12:23

本文选题：天气雷达　切入点：谱矩估计　出处：《现代雷达》2015年12期 　论文类型：期刊论文

【摘要】：针对多普勒天气雷达时间分辨率和方位分辨率提高后,回波强度和径向速度精度无法满足1 d B和1 m/s业务要求的问题,采用基于距离过采样技术和白化滤波算法的改进谱矩估计方法,使估计精度大大提高。该方法通过在距离向提高采样频率,获取更多的回波信号样本数量,然后采用白化滤波算法去除回波信号距离向的相关性,提高回波信号的独立样本数;并以白化滤波后的回波信号为基础,改进现有脉冲对谱矩估计算法,提高谱矩估计精度。仿真和雷达试验结果表明,在回波信号信噪比较大时,谱矩估计改进算法比现有脉冲对算法的估计精度更高,且可解决多普勒天气雷达因时间分辨率和方位分辨率提高后引起的精度降低问题。
[Abstract]:After the time resolution and azimuth resolution of Doppler weather radar are improved, the echo intensity and radial velocity precision can not meet the requirement of 1 dB and 1 m / s operation. The improved spectral moment estimation method based on distance oversampling and whitening filtering algorithm is used to improve the estimation accuracy greatly. By increasing the sampling frequency in the distance direction, the method can obtain more samples of echo signal. Then the whitening filter algorithm is used to remove the correlation of the echo signal distance direction, to increase the independent sample number of echo signal, and based on the whitening filtered echo signal, to improve the existing pulse moment estimation algorithm. The simulation and radar experiments show that the improved spectral moment estimation algorithm is more accurate than the existing pulse pair algorithm when the signal-to-noise ratio of the echo signal is large. It can also solve the problem of reducing the accuracy of Doppler weather radar caused by the increase of time resolution and azimuth resolution.
【作者单位】：成都信息工程大学电子工程学院;中国气象局大气探测重点开放实验室;
【基金】：国家自然科学基金资助课题(41475043,41575022,41405030) 四川省科技厅(2014YJ0093) 成都信息工程大学引进人才(KYTZ201414)资助项目
【分类号】：TN959.4

【相似文献】