A new incremental Kalman filter under poor observation condition

The unverified or uncorrected observation equation of system usually leads to unknown system errors and filtering errors. In this paper, a new incremental Kalman filtering algorithm is presented, which can eliminate the unknown system errors and improve the accuracy of state estimators. This algorithm is simple in form and easy to be applied in engineering practice. The simulation results show its effectiveness and feasibility.