Linear prediction of range-dependent inverse covariance matrix (PICM) sequences

Range‐dependent clutter suppression approach for non‐side‐looking airborne radar based on orthogonal waveforms

“…To improve target detection performance in the range-dependent clutter circumstance, many approaches have been proposed to compensate clutter range dependency for STAP [4][5][6][7][8][9][10][11]. The class of parametric methods includes the Doppler warping (DW) [4], the angle Doppler compensation (ADC) [5], the adaptive angle Doppler compensation (A 2 DC) [6], the high-order Doppler warping (HODW) [7] and so on.…”

“…Hence, clutter suppression performance obtained by these approaches [4][5][6][7] is degraded in this case. The class of non-parametric methods is introduced in [8][9][10][11] to deal with range-dependent clutter. The derivative-based updating (DBU) method [8] and the Taylor series extension based eigen-canceller (TSE-EC) method [9] are based on the assumption that the weight vector is a function of range.…”

“…The range recursive STAP algorithm using the fast approximated power iteration (FAPI) subspace tracking is presented in [10]. The prediction of the inverse covariance matrix (PICM) based method [11] consists of a linear prediction of entries of the inverse covariance matrix. These algorithms [8][9][10][11] are applicable not only in the range unambiguous case but also in the range ambiguous case.…”

“…The prediction of the inverse covariance matrix (PICM) based method [11] consists of a linear prediction of entries of the inverse covariance matrix. These algorithms [8][9][10][11] are applicable not only in the range unambiguous case but also in the range ambiguous case. However, clutter suppression performance of these algorithms is dominated by the accuracy of non-parametric models, which are always unknown in practice.…”

Short‐range ground moving target indication in forward looking airborne radar based on elevation prefiltering

“…Many methods have been proposed to compensate clutter range dependency for STAP [3][4][5][6][7][8][9]. Such as Doppler wrapping (DW) [3][4][5] method tries to shift the Doppler centroid of the mainlobe clutter of secondary data towards that of cell under test (CUT) in the angle-Doppler plane.…”