Publikacje

Immunity of Automatic Modulation Classification algorithms against inaccurate estimation of signal parameters


Tytuł
Immunity of Automatic Modulation Classification algorithms against inaccurate estimation of signal parameters
Typ publikacji
Referat konferencyjny
Rok
2017
Data dokładna
2017
Autorzy słownie
Autorzy
Baranowski Grzegorz Kosmowski Krzysztof Prawdzik Krzysztof
ISBN/ISSN
Electronic ISBN: 978-80-8040-550-2, DVD ISBN: 978-80-8040-545-8, Print on Demand(PoD) ISBN: 978-1-5386-2919-2
Informacje dodatkowe

[Referat wygłoszony na: konferencji  Communication and Information Technologies (KIT), Słowacja, Tatranske Zruby, 04-06.10.2017 r.]
DOI: 10.23919/KIT.2017.8109450

Abstract: Automatic Modulation classification lays important role in the systems of electromagnetic spectrum monitoring. However performance of the algorithms is depreciated due to inaccurate estimation of signal parameters. The problem of unknown parameters is well documented in the literature however, authors usually propose improved algorithms in order to maximize probability of correct classification when one or more parameters are unknown. In this paper the aim is different. Immunity of selected algorithms against inaccurate preprocessing is investigated in order to assess how precise estimation of signals parameters should be.

Keywords:  Automatic Modulation Classification, ALRT, cumulants

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Adres url strony
https://ieeexplore.ieee.org/document/8109450
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