RFI suppression in UWB-SAR based on TH neural network

In ultra-wideband synthetic aperture radar (UWB-SAR), the radio frequency interference (RFI) suppression capacity can be greatly improved by putting an adaptive predictive error filter before the process of image formation. This paper proposes a fast and efficient method for RFI suppression, which gives the model order by spectral peaks and uses the Tank-Hopfield (TH) neural network to compute the coefficients of the filter. The method obtains higher computing efficiency with satisfactory results on interference suppression.