Recognition and Classification of Direct Spread Spectrum Signals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F25%3A00563645" target="_blank" >RIV/60162694:G43__/25:00563645 - 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/NTSP61680.2024.10726301" target="_blank" >10.23919/NTSP61680.2024.10726301</a>
Alternative languages
Result language
angličtina
Original language name
Recognition and Classification of Direct Spread Spectrum Signals
Original language description
This paper deals with the design and implementation of a direct spread spectrum signal classifier. The Binary-Phase Shift Keying (BPSK) and Quadrature Phase-Shift Keying (QPSK) modulation were used to create the signal patterns and Pseudo-Random (PR) sequences, Gold codes and Kasami codes were used to directly spread the spectrum of the modulated signals. The properties of the proposed direct spread spectrum signal models were simulated for Signal-to-Noise Ratio (SNR) from 0 to 10 dB for different spread factor to make their properties close to real direct spread spectrum signals. The Welch's power spectral density estimation method, wavelet transform and signal autocorrelation detection method were used for conceptual design and implementation of the direct spread spectrum signal classifier in Matlab programming environment.
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
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
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
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Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Demanovska Dolina, Slovakia
Event location
Demanovska Dolina, Slovak Republic
Event date
Oct 16, 2024
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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