An ambiguity-resovled correction algorithm of phase interferometer based on Kalman prediction

An ambiguity-resolved correction algorithm based on Kalman prediction (ARCKP) aims to correct errors in resolving phase ambiguity of multi-baseline phase interferometer. The algorithm takes Kalman predictive values as criteria that ambiguity resolved are right or not and uses the predictive values to correct error positions. Analysing judgment threshold of outlier and comparing with exiting algorithms. Simulation results indicate that the new algorithm can better identify outliers and correct data when longer processing interval and higher dynamic exists.