Radar Determination of Elevation of Two Nearby Targets Using Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F24%3A39922709" target="_blank" >RIV/00216275:25530/24:39922709 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10616003" target="_blank" >https://ieeexplore.ieee.org/document/10616003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2024.3436078" target="_blank" >10.1109/ACCESS.2024.3436078</a>
Alternative languages
Result language
angličtina
Original language name
Radar Determination of Elevation of Two Nearby Targets Using Neural Network
Original language description
Monopulse methods have been successfully used in radar to determine the direction of arrival of a reflected signal, giving good results when a single isolated target is involved. However, when two nearby targets need to be detected and their angular position determined, this method fails. We show that it is possible to train and use a neural network to recognize two nearby targets. This neural network is then used to determine the angle of arrival of the reflected signal with sufficient accuracy, even when the distance of the targets is less than the beamwidth. We show the results on an eight-beam antenna model by measuring the elevation using an amplitude monopulse and neural network method. While using monopulse, we can reliably discriminate and determine the angular position of two targets only when their distance is larger than one beamwidth. The neural network method works reliably even for targets at distances much smaller.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE ACCESS
ISSN
2169-3536
e-ISSN
—
Volume of the periodical
12
Issue of the periodical within the volume
Neuveden
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
105481-105487
UT code for WoS article
001286621500001
EID of the result in the Scopus database
2-s2.0-85200201690