Application of Improved G Matrix Model in Full Polarization Interferometric Radiometer

The inverse imaging is a key issue for microwave interferometric radiometers, but the inverse process is ill-posed and doesn't provide a unique and stable solution. For the problem that there exists a large reconstruction bias with G matrix model used generally in the inversion algorithm, an improved G matrix model applied in FPIR system was presented. The simulation results show that, compared with conventional G matrix model, the improved G matrix model can greatly reduce the reconstruction bias in the FPIR system. The improved G matrix model can obtain more accurately the brightness temperature distribution of the observed scene, so as to meet requirements of measuring wind field of the ocean surface and soil moisture for FPIR.