FMICW Radar Target Classification By Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916106" target="_blank" >RIV/00216275:25530/20:39916106 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA49387.2020.9092342" target="_blank" >http://dx.doi.org/10.1109/RADIOELEKTRONIKA49387.2020.9092342</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA49387.2020.9092342" target="_blank" >10.1109/RADIOELEKTRONIKA49387.2020.9092342</a>
Alternative languages
Result language
angličtina
Original language name
FMICW Radar Target Classification By Neural Network
Original language description
This document describes automatic classification of targets detected by the FMICW radar. These targets are counted and sorted to three groups (incoming, outgoing and static targets). We derived this information from the output of the neural network which marked the targets in 2D spectrum. The additional neural network has five layers. The first layer is used for the suppression of the targets with even numbers of points, which causes problems during the symmetry detection. The second and third layers detect the symmetry in the dimension (vertical or horizontal). The fourth layer checks out if the symmetry is in both dimensions and if the detection is not a false alert caused by the constellation of the targets. The fifth layer contains only 4 neurons and this layer is used for counting of the targets and classification of the targets (if they are static, incoming or outgoing). The neural network is composed of a simple block for the easy implementation on the FPGA.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
30th International Conference Radioelektronika, RADIOELEKTRONIKA 2020
ISBN
978-1-72816-469-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Bratislava
Event date
Apr 15, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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