ADAPTIVE TARGET SIGNAL DISCRIMINATION OF SURVEILLANCE RADAR WITH BACK-PROPAGATION ALGORITHM OF NEURAL NETWORK

摘要

The present invention relates to detection radar signal detection, and by applying a back-propagation algorithm of a neural network to enable adaptive signal detection according to signal-to-noise ratio (SNR). It aims to minimize the occurrence of false targets and at the same time have a high detection rate.