Airborne radar space time self-adaptation processing method with sparse representation

The invention belongs to the technical field of space time self-adaptation processing and particularly relates to an airborne radar space time self-adaptation processing method with sparse representation. The method comprises the steps that (1) the sparsity of the clutter spectrum is used, and a high-resolution estimation method based on sparse representation is used for estimating the clutter spectrum power spectrum; (2) a clutter wave crest curve fitting method based on an RANSAC method is used for removing fake peaks in the clutter spectrum obtained based on sparse representation; and (3) the clutter wave power spectrum with the fake peaks removed is used for estimating a clutter covariance matrix (CCM) and an aerial carrier flying parameter stably. Compared with a traditional STAP algorithm, the method has good clutter rejection performance under a small sample condition, and convergence speed is obviously improved.