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Performance evaluation of neural network algorithms for multisensor data fusion in an airborne track while scan radar

Patnaik, LM and Nair, H and Abraham, V and Raghavendra, G and Singh, SK and Srinivasan, R and Ramchand, K (2002) Performance evaluation of neural network algorithms for multisensor data fusion in an airborne track while scan radar. In: 1996 IEEE International Conference on Neural Networks (ICNN 96), 3-6 Jun 1996, Washington, DC.

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Abstract

This paper deals with the solution to the problem of multisensor data fusion for a single target scenario as detected by an airborne track-while-scan radar. The details of a neural network implementation, various training algorithms based on standard backpropagation, and the results of training and testing the neural network are presented. The promising capabilities of RPROP algorithm for multisensor data fusion for various parameters are shown in comparison to other adaptive techniques

Item Type: Conference Paper
Additional Information: Copyright 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Others
Date Deposited: 16 Mar 2012 07:09
Last Modified: 16 Mar 2012 07:09
URI: http://eprints.iisc.ernet.in/id/eprint/43937

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