Rejection of swept-tone interference in PN continuous-wave radar systems by using a novel neural network model

In pseudonoise CW radar systems the effect of active interferences is reduced by the inherent processing gain of the system. In the presence of continuous wave interferences, the performance can be improved further by interference rejection techniques, such as use of transform domain notch filters, adaptive phased antenna arrays, time domain adaptive transversal filters, etc. These techniques are not very effective for rejecting the swept-tone interference often encountered. A neural network technique is proposed for rejecting a broad class of active interferences including single tone, fast moving swept tone, pulsed CW interference, etc