A Robust Multi-Channel InSAR Phase Unwrapping Method Based on Grouped Chinese Remainder Theorem

In interferometric synthetic aperture radar (InSAR) multichannel system, multiple interferograms are obtained in multifrequency or multibaseline configuration, and can be used to reconstruct terrain height profiles. In this paper, a new robust method based on the modulus grouping Chinese remainder theorem (CRT) is proposed to solve the height reconstruction problem. This method uses modulus grouping and solves the estimated values of all target values when the error is integer 1 by compensating the remainder of the congruence equations of multiple congruence equations. The intersection of multiple sets of estimated values is solved, and the intersection is taken as the reconstructed elevation value. Compared with the existing robust CRT algorithm, the residual noise bound size of elevation reconstruction is extended from M / 4 to M, where M is the greatest common divisor of modulus. Experimental results demonstrate the effectiveness of the proposed method.