Abstract:

The bistatic synthetic aperture radar (SAR) imaging algorithm based on traditional optimal imaging space is an excellent SAR imaging algorithm, which has many advantages, such as accurately positioning the scatter point in imaging space, low algorithm complexity, and high focusing performance. However, as the expansion of the observed scene, some defects will appear for the traditional algorithm, such as not being able to accurately position the scatter point in imaging space, and the focusing performance deteriorating. In order to overcome the defects, a concept of the match ratio, which is based on range history vector, is first proposed in the SAR imaging field. According to this concept, a novel bistatic SAR imaging algorithm based on generalized optimal imaging space is further proposed. The proposed algorithm is no longer limited to the range of the observed scene, which can achieve the highresolution SAR imaging for large range sense (wide swath). The experiment results show that the proposed algorithm is effective and feasible.