KNOWLEDGE-BASED SPARSE RECOVERY SPACE-TIME ADAPTIVE PROCESSING METHOD AND SYSTEM

The present invention is applicable to the field of radar signal processing, and provided thereby is a knowledge-based sparse recovery space-time adaptive processing (STAP) method, comprising: constructing a space-time oriented dictionary according to an airborne radar and an angle-Doppler plane, and determining a clutter angle-Doppler image according to the space-time oriented dictionary (S101); carrying out combined estimation on an array amplitude and phase error of an antenna array of the airborne radar and the clutter angle-Doppler image (S102); calculating a clutter covariance matrix according to the combined estimation (S103); and constructing a space-time filter according to the clutter covariance matrix, and carrying out clutter suppression by means of the space-time filter (S104). The described method solves the problems of performance degradation and high computational complexity of sparse recovery STAP caused by the presence of an array error and improves the clutter suppression level and target d