Robust Kalman filtering for the marine sounding data
LI Ming-san · Cehui kexue · 2006
After analyzing the pattern of sounding,the models based on the algorithms of Kalman filtering were presented in this paper to filter the survey-boat positions and depths along a sounding line.However,the existing methods could not remove the alias soundings in fact.So,a filtering method with a truncated weight function is designed to remove outliers,such as gross errors,false echo.The method has been tested using observed data.The results show that the robust Kalman filtering with the truncated function is really robust in resisting the outliers in soundings.