Beam control using the parametric adaptive matched filter STAP approach

This paper evaluates the performance of a vector autoregressive space-time adaptive processing method, the parametric adaptive matched filter (PAMF), in the presence of airborne radar clutter and white noise interference. Performance metrics are derived from a PAMF weight vector representation and include the detection test statistic, the signal-to-interference-plus-noise ratio, and the adapted angle-Doppler beam pattern. Results are shown for the latter metric in the presence of mainbeam and closely spaced sidelobe interference.