ADCP流速数据综合滤波算法研究

Study on synthesized filtering algorithm for ADCP velocity data

针对现有ADCP流速数据滤波方法单一导致滤波效果不佳的缺陷,在分析ADCP观测误差来源的基础上,基于对几种流速滤波方法的特点的总结分析,给出了一种ADCP数据综合滤波方法,即首先设计自适应窗口,利用中值滤波对原始流速数据进行异常值剔除得到初步结果,继而分析初步结果的功率谱图,设计DFT滤波器;对初步结果进行窗函数法滤波,以获得最佳滤波效果。实验结果表明,综合滤波法对白噪声(随机误差)滤除效果较好,特别是对存在少量连续、非连续异常值的流速数据,其滤波结果优于传统滤波方法。

Aiming at the deficiency of velocity data filtering measured by ADCP due to single filtering method,based on the analysis of the error source of ADCP measurement,a synthesized filtering algorithm for ADCP velocity data is proposed combining with several filtering methods.The method designs the adaptive window for filtering at first,then implements median filter on original velocity data to exclude outliers and obtain preliminary results,analyzes the power spectrum of preliminary results and designs the Discrete Fourier Transformation filter to implement window function method on preliminary results again,and achieves the best filtering effect at last.The results show that this synthesized filtering algorithm performs well for White noise（random error）,especially,for the velocity data which contains a small amount of continuous or non-continuous outliers.The filter results are much better than those of traditional filter methods.