A priori knowledge can be exploited to increase clutter cancellation performance. This, in particular, applies in the case of Multichannel high resolution SAR systems in scenarios where also non-cooperative moving targets are present. Space Doppler Adaptive Processing has been proven as a viable solution in this case although it needs a large number of i.i.d training data. Prior knowledge can be used to relax this demanding condition. Two approaches (ITFS and Bayesian) are described and results on simulated data are shown.
Knowledge based space doppler adaptive processing for imaging of moving targets in strong ground clutter
Bacci, A.;Gelli, S.;Giusti, E.;Martorella, M.;Berizzi, F.
2017-01-01
Abstract
A priori knowledge can be exploited to increase clutter cancellation performance. This, in particular, applies in the case of Multichannel high resolution SAR systems in scenarios where also non-cooperative moving targets are present. Space Doppler Adaptive Processing has been proven as a viable solution in this case although it needs a large number of i.i.d training data. Prior knowledge can be used to relax this demanding condition. Two approaches (ITFS and Bayesian) are described and results on simulated data are shown.File in questo prodotto:
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