A New Data Processing Algorithm for Angle Measurement with Interferometer

A new data processing algorithm for angle measurement with interferometer is presented. The algorithm removes angle outliers from wrong phase ambiguity value, filters the angle with a new 2nd order improved Kalman filter, which can stably track the angle and accurately estimate the angular rate. The results of experiment showed that the algorithm has high tracking accuracy for static, uniform, uniformly accelerated angular movement, and also has good tracking ability for general angular accelerated movement.