Multi-Beam Hierarchical Data Processing Method Based on Autocorrelation Estimation and Echo Intensity Joint Weighting

Due to its wide coverage, high accuracy, high efficiency and other advantages, multi-beam flow measurement is becoming a hot spot in acoustic Doppler velocity measurement. Because the multi-beam fluid echo data is more complex than the common fixed-beam ADCP, the unstable factors such as the inconsistent velocity and the non-uniformity distribution of the scatters will make the quality of some radial velocity data and echo intensity data low, resulting in the inability to obtain the space-time distribution characteristics of the flow field robustly. In this paper, a multi-beam layered data processing method based on joint weighting with autocorrelation estimation and echo intensity is proposed to improve the quality of data and reduce the uncertainty of measurement. Simulation results demonstrated the correctness and effectiveness of the proposed method.