A New Method for Polyphase Coded Radar Signals Recognition Based on Dual Channel Deep Learning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F25%3A00564304" target="_blank" >RIV/60162694:G43__/25:00564304 - isvavai.cz</a>

Result on the web

<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10726284" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10726284</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/NTSP61680.2024.10726319" target="_blank" >10.23919/NTSP61680.2024.10726319</a>

Result language

angličtina

Original language name

A New Method for Polyphase Coded Radar Signals Recognition Based on Dual Channel Deep Learning

Original language description

This paper presents a new method for recognizing polyphase coded radar signals based on dual-channel deep learning. The proposed method includes two stages. In the first step, the Morse Wavelet and continuous Wavelet transforms are used to extract signal features in the time and time-frequency domain. In the second, dual-channel deep learning is designed to recognize radar signals. The first channel uses the extracted feature in the time-frequency domain, and the second uses the phase change of the signals in the time domain. The proposed method's performance is evaluated with simulated signals in a MATLAB environment. The simulation results approved that the proposed method provides a higher accuracy recognition than other methods, which only use single-channel deep learning with signal feature extraction in the time-frequency domain.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20200 - Electrical engineering, Electronic engineering, Information engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the International Conference on New Trends in Signal Processing, NTSP 2024

ISBN

978-80-8040-637-0

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

1-5

Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

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Event location

Demanovska Dolina, Slovak Republic

Event date

Oct 16, 2024

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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