Adaptive multi-position sensor information fusion method based on AR model

Abstract

Based on the problem of the difficulty to set up the precise models for the information fuse method which bases on the Kalman filters, a new method based on the autoregression (AR) model is put forward in this paper. This method is one of the time series analysis methods, which uses the temporal correlation between the errors data to set up the AR model, and then the estimation results are utilized to fuse the location information; To detect and isolate the information fault timely, this paper suggests the fault detection and isolation method based on maximum solution separation; Finally, the feasibility of the algorithm is verified by the data collected from the actual sensors.