An Adaptive SVP Simplification Based on Area Difference

Abstract

Sound velocity profile (SVP) data is indispensable in the multi-beam data processing. The sampling density is of great importance for SVP to represent the vertical variation of sound velocity accurately and guarantee the accuracy of sound ray tracing (SRT). However, the SVP also affects the SRT efficiency significantly, especially in deep-sea multi-beam sounding data processing. To improve SRT efficiency and ensure SRT accuracy, an adaptive SVP simplification method based on area difference is proposed in this article. Firstly, the relationship between the area difference of the raw SVP and the simplified one and SRT bias is studied, and the relationship model of them is built. Then, by considering the constraint of SRT accuracy, the SVP simplification method and the simplifying SVP procedure SVP are given. Finally, a deep water experiment is conducted to verify the proposed method. Compared to the existing method, the proposed method improves the robustness, feasibility of SVP simplification as well as the accuracy and efficiency of SRT.

Keywords

• |sound velocity profile (svp) simplification|area difference|equivalent svp|sound ray tracing (srt)bias|maximum offset of sound velocity(mov)