A Fast Configuration Optimization Algorithm for GNSS-based InBSAR System

The Global Navigation Satellite System-based Synthetic Aperture Radar Interferometry (GNSS-based InBSAR) uses in-orbit satellites as transmitters, and the receiver is stationary on the ground, which uses repeat-pass interference to realize deformation inversion. Compared with the traditional InSAR system, GNSS-based InBSAR has obvious advantages such as short revisit time, wide coverage and low system cost. This paper proposes a fast configuration optimization algorithm for GNSS-based InBSAR to solve the problem that the traditional configuration optimization algorithm consumes a lot of computing resources and does not have the ability to deploy quickly in disaster areas. This method simulates the trajectory of actual satellites in a repeat-pass period by polynomial fitting, and quickly optimizes the resolution and three-dimensional deformation accuracy at each time in a repeat-pass period, to obtain the best experimental configuration. This method can greatly reduce storage resources and simulation calculation time, and achieve rapid configuration optimization selection. The effectiveness of the algorithm is verified by the experimental data.