基于RELAX的气象雷达回波参数化谱矩估计方法

A Parametric Spectral Moments Estimation Algorithm for Weather Radar Echoes Employing RELAX

气象雷达回波的功率、平均频率和谱宽等谱矩参数与气象目标的类型密切相关,如何准确估计一直是关注的问题。地杂波也是气象雷达面临的严重干扰。气象目标回波和地杂波的频谱呈现高斯谱的特征,其参数化模型可以利用来估计这些谱矩参数。提出了拟合信号功率谱的参数化谱矩估计方法,并采用RELAX的思想进行多个高斯谱信号混合时的谱矩参数估计。最后利用仿真气象雷达信号进行了实验和性能分析,实验结果表明提出的方法能准确估计出高斯功率谱的谱矩参数,且具有较高的分辨率。与脉冲对法相比可用于估计多个高斯谱混合的情况(比如地杂波和气象回波叠加在一起时),与最大似然法相比降低了运算量。

The power,mean frequency and spectrum width of the Doppler echoes are closely related to the types and characteristics of meteorological phenomena.Spectral moments estimation is very necessary.Ground clutter is a server interference to weather radar. The weather echoes and ground clutter have power spectra with shape following closely to Gaussian function,which can be used to established parametric estimation method.A parametric model for estimating spectral moments is employed and a parametric spectral moments estimator is proposed.Then RELAX is used in this method dealing with the scenes of several mixed Gaussian spectrums.Finally, experimental results with simulated weather radar signals and performance analysis are given.It is verified the present estimator can estimated the spectral moments accurately.Unlike pulse pair method,it can be used to estimate the spectrum moments of weather echoes in presence of ground clutter.And it is comparatively efficient than Maximum Likelihood method.