用于多普勒流速剖面仪测波浪的方向谱反演算法研究

为了取得声学多普勒流速剖面仪(ADCP)测量波浪的合理可靠的方向谱反演结果，该文对实用的几种基于仪器阵列的海浪方向谱反演算法进行理论上的性能分析并使用其处理ADCP波面高度数据(包括计算机仿真和实测数据)进行比较，结果表明贝叶斯法(BDM)的方向分辨率最高，最大似然法(MLM)的稳定性最强，扩展本征矢法(EEV)在波浪波长较大时能取得最明确尖锐的谱峰。因此MLM适用于波浪数据的实时处理，而对精度要求较高时可使用BDM。

Research on Inversion Algorithms of Directional Spectrum Used in Wave Measurement of Acoustic Doppler Current Profiler

In order to achieve reasonable and reliable results of directional spectrum used in wave measurement of Acoustic Doppler Current Profiler (ADCP), three practical inversion algorithms based on array measurement are analyzed on performance in theory and used in translating water surface elevation collected by ADCP (both computer simulated and experimental data included) into directional wave spectra for comparison. It is shown that Bayesian Directional spectrum estimation Method (BDM) is most accurate in directional resolution; Maximum Likelihood Method (MLM) reaches sufficient stability of solution; and with long wavelengths, Extended Eigen- Vector (EEV) method can obtain most specific and sharp peaks of directional spectra. Therefore, MLM is suitable for real-time processing of wave data, and BDM could be used when higher accuracy is demanded.