Research On Signal Processing Of Interferometric Synthetic Aperture Radar And Phase Unwrapping Algorithm

The name of the interferometric synthetic aperture radar is Interferometric Synthetic Aperture Radar,which combines the two techniques of interferometry and SAR imaging.It uses known radar system parameters and orbital parameters to construct specific relationships between elevation data at a certain point on the ground and radar feedback data,and to quickly and massively measure ground elevations.At present,InSAR technology has become one of the research hotspots in the field of remote sensing and has been successfully applied in many fields.InSAR obtains the stereo coordinates of the desired target by registering the two images of the target,interferogram filtering,phase unwrapping and the corresponding elevation inversion method.However,it should be noted that the actual analysis and processing of radar signals for feedback is very complex.Therefore,it is very important to be able to quickly and accurately complete the signal processing process to obtain the target three-dimensional information.The final focus of the paper is on the detailed analysis of the phase unwrapping method involved in InSAR signal analysis,especially its working principle.On this basis,the commonly used algorithm is also described,and the phase unwrapping process is also discussed.The process is studied in depth.At the same time,for the traditional phase tangling method,it is easy to form multiple independent island areas that are unwrapping in a region where the signal-to-noise ratio is relatively small and the coherence is poor.Therefore,this paper proposes a traditional branch tangent method and quality.Image fusion phase unwrapping algorithm.The algorithm is based on a path integral phase unwrapping method.First,the large-area phase of the image is unwound by the traditional branch tangent method,and then the residual residuals and the island phase are wrapped by the phase-mass diagram.The new algorithm not only solves the problem that the branch tangent method cannot obtain the complete solution of phase unwrapping,but also solves the phase unwrapping error that the mass map method cannot prevent the diffusion.Through the new algorithm on the processing of simulated and measured data,it can also explain that the algorithm uses the tangent line method to realize the characteristics of fast phase unwrapping speed,and also uses the quality of the phase unwrapping method of the mass map method to effectively handle large-scale The need for winding phase unwrapping is superior to other algorithms in terms of accuracy.At the end of the paper,the accuracy of the DEM data generated by the experiment was evaluated using the highly accurate GDEM data as a standard.