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.
|Titolo:||Knowledge based space doppler adaptive processing for imaging of moving targets in strong ground clutter|
|Anno del prodotto:||2017|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|