This paper presents a non-linear adaptive approach to the cancellation of clutter echoes in modern AEW radar systems equipped with digital beamforming. Two new STAP schemes are conceived by using different non linear functions that are applied to the output of a bank of adaptive 2D FIR filters. The STAP schemes are shown to yield better detection performance than previously known schemes when operating in a non stationary clutter background containing interfering targets. Since they require a limited increase of the computational load, compared to the single 2D-FIR filters, the proposed schemes can be regarded as practical solutions for robust and effective STAP of radar data.
Non-linear STAP filters based on adaptive 2D-FIR filters / Lombardo, Pierfrancesco; Colone, Fabiola. - (2003), pp. 51-58. (Intervento presentato al convegno 2003 IEEE Radar Conference tenutosi a HUNTSVILLE, AL nel MAY 05-08, 2003) [10.1109/nrc.2003.1203379].
Non-linear STAP filters based on adaptive 2D-FIR filters
LOMBARDO, Pierfrancesco;COLONE, Fabiola
2003
Abstract
This paper presents a non-linear adaptive approach to the cancellation of clutter echoes in modern AEW radar systems equipped with digital beamforming. Two new STAP schemes are conceived by using different non linear functions that are applied to the output of a bank of adaptive 2D FIR filters. The STAP schemes are shown to yield better detection performance than previously known schemes when operating in a non stationary clutter background containing interfering targets. Since they require a limited increase of the computational load, compared to the single 2D-FIR filters, the proposed schemes can be regarded as practical solutions for robust and effective STAP of radar data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
