Pulse radar detection using a multi-layer neural network

Abstract

The application of a multilayer feedforward neural network to pulse radar detection or pulse compression is presented. For illustration, the Barker code was used. This network has 13 input units, 3 hidden units, and 1 output unit. Backpropagation learning was used to train the network. A 40-dB peak signal-to-noise ratio can be achieved easily. The processing time is expected to be much faster than that obtained using correlation and mismatched filtering approaches.<>