Extended nonlinear chirp scaling algorithm with topography compensation for maneuvering-platform bistatic forward-looking SAR

Breaking through the forward-looking limitation of monostatic synthetic aperture radar (SAR), bistatic forward-looking SAR (BFL-SAR) brings much potential in areas such as automatic navigation and landing in bad weather conditions. For many cases of BFL-SAR mounted on maneuvering-platform (MBFL-SAR), neither the flight path is straight nor the topography is flat. Conventional imaging algorithms designed for linear trajectory and flat topography fail to handle this situation. In this paper, a full-aperture efficient extended nonlinear chirp scaling algorithm with topography compensation is proposed for the data processing of MBFL-SAR. Simulation is presented to verify the validity of the proposed algorithm.