ADMM-BASED ROBUST SPARSE RECOVERY STAP METHOD AND SYSTEM THEREOF

摘要

Provided is an ADMM-based robust sparse recovery STAP method. The method comprises a model establishment step: establishing a signal sparse model with array gain-phase errors (S1); a joint estimation step: using the sparsity of clutter and target power spectra, and by adding constraints to array gain-phase errors, performing ADMM-based joint estimation of the angle-Doppler image of array gain-phase errors and clutter or clutter plus target (S2); and a target detection step: detecting, using a detection window, the estimated angle-Doppler image of a unit to be detected, calculating the total power of the target and the average power of all the reference units, and detecting the target using a CM-CFAR detector (S3). Also provided is an ADMM-based robust sparse recovery STAP system. The method and the system of the present invention can overcome the problem of severe performance degradation caused by array gain-phase errors, thereby improving clutter suppression and target detection capabilities of a radar system.