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Neural Networks for Scattering Signal Based Object Recognition

Authors:
Hristomir Yordanov
Irina Topalova

Keywords: Scattering signals; Object identification; Neural Networks

Abstract:
Radar based imaging techniques can be used to collect 3D information about objects, which in turn can be used to identify and measure specific parameters of these objects. Such measurements need to correlate specific radar signals with the object properties. This can be done using neural networks, as they are designed to search for patterns, which are difficult to find using analytic methods. This work presents a first step towards a neural network based radar signal processing system for object identification by attempting to identify an object placed in a rectangular waveguide

Pages: 1 to 3

Copyright: Copyright (c) IARIA, 2018

Publication date: May 20, 2018

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-634-7

Location: Nice, France

Dates: from May 20, 2018 to May 24, 2018