Title

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. © 2008 IEEE.

Publication Date

12-1-2008

Publication Title

National Aerospace and Electronics Conference, Proceedings of the IEEE

Number of Pages

123-126

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/NAECON.2008.4806530

Socpus ID

66749116561 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/66749116561

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