Range Recursive and Taylor Series Based Space-Time Adaptive Processing for Range Dependent Clutter Rejection
This paper presents a new Space Time Adaptive Processing (STAP) for the rejection of range dependent ground clutter in order to detect slow moving targets with airborne radar. STAP usually requires the estimation of the clutter plus noise covariance matrix from secondary data neighboring the cell under test. However, in most radar antenna array architectures and/or configurations which are different from the conventional uniform linear antenna array and side-looking configuration the clutter is range dependent. The authors' recently proposed the use of a Taylor series expansion of the clutter plus noise subspace in conjunction with the Eigen Canceler-based (EC) STAP in order to mitigate the range non-stationarity of the clutter.