An Adaptive-Segmentation-Oriented Multiband Synthesis Fast Imaging Algorithm for GNSS-InBSAR System

The most prominent advantage of the global navigation satellite system-based bistatic synthetic aperture radar interferometry (GNSS-InBSAR) system is its capability to achieve high-frequency 3-D deformation monitoring by combining measurements from different satellites. However, multisatellite, multiband, and short-interval imaging also introduces challenges such as large data amount and high computational requirements. In this article, an adaptive-segmentation-oriented multiband synthesis fast imaging algorithm is proposed for GNSS-InBSAR system. First, multiband synthetic signal model is established for the Beidou navigation signals. Then, optimization methods for segment parameters are proposed along range and azimuth directions, respectively. The limitation of the optimization methods are next discussed based on the GNSS-InBSAR system characteristics. The raw data of multiband navigation signals are used to indicate the effectiveness of the proposed algorithm. The computation time for single-band signals has been reduced by 77%, while for multiband signals, the computation time has been reduced by 71%.