Development of Pulse Radar Detection Technique using Neural Network

Attempt to formalize human thought by the use of mathematical tools led to the generation of artificial neural networks. This paper is a modest attempt presenting mathematical modeling and analysis of some problems in radar pulse compression technique involving the use of neural network theory. An artificial neural network (ANN) system is an abstract mathematical model inspired by brain structures, mechanisms and functions. This paper presents an approach for pulse compression technique using Radial Basis function (RBF) neural network, 13 bit and 35 bit barker codes are taken as input to the network for pulse compression and comparison of RBF with other neural network like default ACF.