Structured sparse ISAR (Inverse Synthetic Aperture Radar) imaging method combined with phase focusing

The invention provides a structured sparse ISAR (Inverse Synthetic Aperture Radar) imaging method of joint phase focusing, which comprises the following steps: constructing an azimuth sparse imaging optimization model of joint phase error and target structure characteristics on the premise of considering motion error; in order to solve a norm optimization problem, phase correction and target structure weighting are fused into a fast iteration shrinkage threshold algorithm implementation process, correction of phase errors and updating of structure weight information are achieved at the same time through iteration of the algorithm, and finally a high-resolution ISAR imaging result is obtained. Actual measurement data experiments prove that compared with a traditional sparse imaging method, due to the fact that the structure sparse characteristic of the target is fully utilized by the algorithm, high-precision ISAR imaging under the condition that phase errors exist can be achieved, and the processing performan