STAP METHOD AND DEVICE WITH BEAM-DOPPLER PATTERN SPARSITY CONSTRAINT

摘要

Provided is a space-time adaptive processing (STAP) method and device with a beam-Doppler pattern sparsity constraint. The method comprises: establishing a norm L1-norm L2 mixed minimized objective function according to the sparsity of a beam-Doppler pattern and by minimizing norm L2 output by a space-time filter and norm L1 of the beam-Doppler pattern (S1); and solving a weight vector w^p of the space-time filter according to the norm L1-norm L2 mixed minimized objective function (S2), wherein the superscript p is a positive integer and represents the number of independent and identically distributed training samples. The method enables easy configuration of parameters and simple calculations, and can improve clutter reduction and target detection capability of a radar system with limited independent and identically distributed training samples.