Stop-Band APES: STAP processing on highly hetergeneous data. A formulation extended to Maximum Likehood Estimation Detector
This paper proposes an extended version of the Maximum Likelihood Estimation Detector (MLED) that can operate in severe heterogeneous environment for slow moving target detection in ground clutter using space-time adaptive processing (STAP). Unlike the MLED, the extended version called StopP-Band APES does not suffer from the high Doppler resolution properties of the MLED leading to severe extra computational burden. Performances are illustrated on realistic synthetic data.
apes stap mled single data set detection algorithm heterogeneous clutter