多波束测量声速剖面采样间隔优化选取

Optimal Selection of Sampling Interval on Multibeam Bathymetry

针对多波束测量声速剖面采样间隔合理选取问题,首先介绍了常声速分层声线跟踪法与常梯度分层声线跟踪法基本原理及实现方式,其次基于两种声线跟踪方法分析了声速剖面采样间隔对多波束测深的影响规律,并利用三次样条插值法对声速剖面进行了层化处理以获取不同采样间隔声剖数据,最后结合限差要求,对采样间隔进行了优化选取,实验结果表明,常声速分层声线跟踪法较常梯度分层声线跟踪法对声剖采样间隔更为敏感,在给定限差范围内合理确定采样间隔,既能保证测量的精度又能提高算法运行效率,分析结果对多波束测深数据采集质量的实时监控和实时声线跟踪具有一定指导作用。

To solve the optimal selection problem of sampling interval on multibeam bathymetry, firstly the fundamental and implementation model of constant sound laying speed ray tracing and constant gradient laying ray ttacing 肛e intoduced.Secondly,出e influence rules of sampling interval effect on multibeam bathymetry based on the two ray tracing methods are analyzed, and in order to get the different sampling interval of sound speed profile data, the sound speed profile is lay-divided by the cubic spline. Finally, the sampling interval is optimal selected combined the limit value.The results show that the method of constant sound laying speed ray tracing is more sensitive to sampling interval than the method of constant gradient laying ray tracing.The optimal selection of sampling interval at a given limit range can guarantee the measurement accuracy and improve the operational efficiency of arithmetic.The analysis results have some guiding effect on the real time monitoring the quality of multibeam bathymetry data collection and the real time ray tracing.