Sounding Velocity Intergrated Error Correction Method of Multi-beam Data Based on Kalman Filtering

Out the error source in tradition of multi-beam sounding system adjustment of post-processing methods are greatly influenced by factors such as sound velocity error limitation of application of adjacent strips the central beam is put forward to build each ping the topography of the trend line as a prior information, using Kalman filtering under the influence of the integrated error of sound sounding data of systemic error correction method. Firstly, the central beam data of adjacent bands with relatively high accuracy of the sounding data were extracted, and the trend line of the regional seabed topography of the area under which the multi-beam was located was constructed roughly. Secondly, the deviation of the observed value and the deviation of the trend line of the seabed topography are obtained by using the data of the overlaps between the central beam of the detection line and the main measuring line. Finally, based on the deviation obtained, the construction trend line is used as the prior information to correct the data using Kalman filtering, and the accuracy of the corrected data is analyzed and evaluated. The experimental results show that the system error of the edge beam can be corrected effectively by Kalman filter.