Research on data processing method of detection for dynamic ship draft based on multi-beam sonar system

Abstract

According to requirements to detect the ship draft, a detection system of dynamic ship draft based on Multi-beam sonar System is researched. The data of ship draft is obtained by using Multi-beam sonar. The abnormal data in the ship draft data are grouped based on the distribution features: the discontinuous jump data and the continuous jump data. The convolution template and median filtering algorithm for the ship draft data is adopted to eliminate the discontinuous jump abnormal data when Multi-beam sonar are used to detect the bottom of the ship. For the continuous jump abnormal data that only appears in the ship stern, the least-square linear regression and prediction algorithm is put forward to eliminate the continuous jump abnormal data. Tests show that the detection system satisfies the measurement requirements and the median filtering algorithm and the least-square linear regression and prediction algorithm are more practical and effective.