Automatic modulation classification for dvb-s2 system in fading channels

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F19%3A00537335" target="_blank" >RIV/60162694:G43__/19:00537335 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8876720" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8876720</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/KIT.2019.8883469" target="_blank" >10.23919/KIT.2019.8883469</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic modulation classification for dvb-s2 system in fading channels

Popis výsledku v původním jazyce

The modulation recognition problem has been researched extensively in the past, but the classification in the presence of an unknown channel still exists a number of open issues. Interestingly, the number of the papers for the automatic modulation classification that are recommended in the digital video broadcasting - satellite - second generation standard is very limited. Motivated by this, the automatic modulation classification technique using the high order statistic approach was present in the paper. Signal model with raised cosine filter was employed for the modulation recognition. The classifier using the K-nearest neighbor algorithm with fourth- and sixth-order cumulants of the signal are investigated and analyzed. The performance of the algorithm is evaluated at a signal-to-noise ratio of 5 dB in additive white Gaussian noise and fading channels. Simulation results showed that the recognition rates were strongly affected by fading channels.

Název v anglickém jazyce

Automatic modulation classification for dvb-s2 system in fading channels

Popis výsledku anglicky

The modulation recognition problem has been researched extensively in the past, but the classification in the presence of an unknown channel still exists a number of open issues. Interestingly, the number of the papers for the automatic modulation classification that are recommended in the digital video broadcasting - satellite - second generation standard is very limited. Motivated by this, the automatic modulation classification technique using the high order statistic approach was present in the paper. Signal model with raised cosine filter was employed for the modulation recognition. The classifier using the K-nearest neighbor algorithm with fourth- and sixth-order cumulants of the signal are investigated and analyzed. The performance of the algorithm is evaluated at a signal-to-noise ratio of 5 dB in additive white Gaussian noise and fading channels. Simulation results showed that the recognition rates were strongly affected by fading channels.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

2019 Communication and Information Technologies Conference Proceedings, KIT 2019 - 10th International Scientific Conference

ISBN

978-80-8040-575-5

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

113-116

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Liptovský Mikuláš, Slovakia

Místo konání akce

Vysoke Tatry, the Slovak Republic

Datum konání akce

9. 10. 2019

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—