Kalman Filter Phase Unwrapping Algorithm and Comparison and Analysis with Other Methods

The general phase unwrapping algorithm usually need use some filtering algorithms to eliminate noise firstly,and then to phase unwrapping,so as to ensure the quality of unwrapping and successful implementation.The Kalman Filter overcomes this drawback and transforms the phase unwrapping problem into state estimate issue to deal with phase unwrapping and noise eliminating at the same time,simplifying data processing.Using Kalman Filter phase unwrapping method to deal with real InSAR data,it is to compare and analyze its result with these of other commonly used algorithms from both aspect of vision and quantitation.It is verified that Kalman Filter phase unwrapping algorithm has effectiveness and feasibility in the respect of noise restraining and unwrapping effect and it can gain more reliable unwrapping result.