On measured-error pretreatment of bionic polarization navigation

A signal pre-treatment algorithm based on combination of 3-dimension system identification and Kalman filtering estimation (3DSKE) is proposed. The aim of designing the 3DSKE algorithm is to reduce errors caused by random noise, but leave the systematical errors caused by signal source remained to be solved by a special method. The 3DSKE algorithm is especially suitable for time series of pure measured data without dynamic equation and on-line real-time execution. The simulated result shows that the 3DSKE algorithm can help the basic theoretic calculation to realize feasible, stable, fast, high accurate and auto-executing computing process for the navigation applications.