Networked Multi-target Detection Using Electromagnetic Modeling and Neural Network

Abstract

Multi-target detection is crucial in modern warfare. It is challenging to distinguish radar returns of multiple, separate targets from those of multiple reflection points on a single target. Methods developed so far use straightforward discrimination, which is computationally complex. In this paper, we propose ideas to detect multi-targets by using electromagnetic modeling and neural networks (NNs). Preliminary result for missile identification through NN is presented for indicating the efficiency of NN for multi-target detection.