深海拖缆勘探导航数据预处理方法

Preprocessing Method for Navigation Data of Deep-Sea Streamer Exploration

深海拖缆勘探导航测量的数据质量差,出现粗差的可能性大,数据预处理过程(主要包括粗差探测、滤波平滑和数据历元化等)是数据处理的重点和难点之一。文中探讨并设计了一种预处理方法:首先通过稳健估计拟合曲线的方法探测粗差;然后滤波平滑削弱观测噪声的影响,同时进一步处理残留粗差得到较"干净"的观测值;最后进行历元化内插得到各历元时刻的观测值,为数据处理做好准备工作。

When developing a software to process the navigation data of deep-sea streamer exploration, the pretreatment is one of the key and the difficulties. It includes gross error detection, filtering, epoching of data and so on. The methods of the pretreatment are discussed. First, the gross errors are detected by using of the polynomial curve fitting iterative selection of the right way, and then the impact of measurement noise is weakened by filtering and a further process to the gross residued is made. After that the better observers for epoching can be gotten.