Focusing one-stationary bistatic forward-looking synthetic aperture radar with squint minimisation method

This study deals with the imaging problem of one-stationary bistatic forward-looking synthetic aperture radar (BFSAR). This BFSAR has extensive potential applications, such as self-navigation and self-landing in the airport. However, the forward-looking (or squint) angle is usually large in one-stationary BFSAR. It causes large range migration and strong range dependence on the secondary range compression term. Therefore it is difficult to use traditional imaging algorithms to focus one-stationary BFSAR. To solve this problem, an imaging algorithm based on squint minimisation method is proposed in this study. The squint minimisation operation can shear the high forward-looking angle data spectrum and decrease the coupling between range and azimuth. Then, the authors derive a modified range Doppler algorithm (RDA) to focus the sheared data. Numerical simulations show that by combining squint minimisation method and modified RDA, the raw data of one-stationary BFSAR can be well imaged.