基于极大似然算法的风廓线雷达谱矩估计

摘要

In the spectral processing of wind profile radar data, there often appear clutters, intermittent clutters, and the mixture of atmospheric echoes and geomagnetic clutters. In order to effectively restrain and remove the clutters and increase the wind profile radar detection range and accuracy, the effective spectral moment estimation must be conducted on the spectral moments of atmospheric echo spectrums. Through the power spectral analysis of wind profile radar Doppler echoes, a method of wind profiler radar echo spectral data estimation is presented based on the maximum likelihood method. The MATLAB simulation analysis is conducted, and compared with the conventional method, the feasibility and effectiveness of the algorithm is verified. The spectrum moment estimation has been improved significantly by sampling from the lower-level volume.%在风廓线雷达谱数据处理中,雷达低层取样体积探测的谱数据通常出现地物杂波、间歇性杂波、地磁杂波与大气回波谱混杂交叠的情况.为了有效抑制和去除杂波干扰,并且提高风廓线雷达探测范围和测量精度,必须对大气回波谱的谱矩进行有效的估计.通过对风廓线雷达多普勒回波功率谱分析,提出基于极大似然算法估计雷达回波谱谱数据的方法,并且进行了实际数据仿真分析,通过与常规方法进行对比分析,验证了算法的可行性和有效性,在低层取样体积谱矩估计得到了显著的改善.