Please use this identifier to cite or link to this item: https://elar.usfeu.ru/handle/123456789/9313
Title: Many-Parameter Quaternion Fourier Transforms for Intelligent OFDM Telecommunication System
Authors: Labunets, V. G.
Ostheimer, E. V.
Issue Date: 2020
Publisher: Springer
Citation: Labunets, V.G. Many-Parameter Quaternion Fourier Transforms for Intelligent OFDM Telecommunication System / V.G. Labunets, E. Ostheimer // Advances in Intelligent Systems and Computing. – 2020. – Vol. 1126 AISC. – P. 76-92.
Abstract: In this paper, we aim to investigate the superiority and practicability of many-parameter quaternion Fourier transforms (MPQFT) from the physical layer security (PHY-LS) perspective. We propose novel Intelligent OFDM-telecommunication system (Intelligent-OFDM-TCS), based on MPFT. New system uses inverse MPQFT for modulation at the transmitter and direct MPQFT for demodulation at the receiver. The purpose of employing the MPFTs is to improve the PHY-LS of wireless transmissions against to the wide-band anti-jamming communication. Each MPQFT depends on finite set of independent parameters (angles), which could be changed independently one from another. When parameters are changed, multi-parametric transform is also changed taking form of a set known (and unknown) orthogonal (or unitary) transforms. We implement the following performances as bit error rate (BER), symbol error rate (SER), the Shannon-Wyner secrecy capacity (SWSC) for novel Intelligent-MPWT-OFDM-TCS. Simulation results show that the proposed Intelligent OFDM-TCS have better performances than the conventional OFDM system based on DFT against eavesdropping. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords: ANTI-EAVESDROPPING COMMUNICATION
MANY-PARAMETER TRANSFORMS
OFDM
QUATERNION FOURIER TRANSFORM
TELECOMMUNICATION SYSTEM
URI: https://elar.usfeu.ru/handle/123456789/9313
ISBN: 978-303-039-161-4
DOI: 10.1007/978-3-030-39162-1_8
SCOPUS: 2-s2.0-85079098966
WoS: WOS:000659202300008
RSCI: 43245079
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.