Matrix Reconstruction Algorithm-Assisted Multi-Carrier DCSK Scheme: An Effective Solution for Frequency-Selective Fading Channel - Details

author：

Tao, Y. (Tao, Y..) ^[1] | Fang, Y. (Fang, Y..) ^[2] | Chen, P. (Chen, P..) ^[3] (Scholars：陈平平) | Ma, H. (Ma, H..) ^[4] | Guizani, M. (Guizani, M..) ^[5]

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Abstract：

In　this　paper,　we　develop　a　matrix　reconstruction　algorithm-assisted　multi-carrier　differential　chaos　shift　keying　(DCSK)　scheme,　named　MRA-MC-DCSK　scheme.　Especially,　the　frequency-selective　fading　channel　is　considered　in　the　proposed　scheme.　We　establish　a　matrix　reconstruction　algorithm　(MRA)　to　reconstruct　the　information-bearing　signal,　which　can　solve　the　performance　deterioration　of　the　conventional　MC-DCSK　system　over　the　frequency　selective　fading　channels.　Moreover,　the　designed　MRA-MC-DCSK　system　can　achieve　the　frequency　diversity　by　the　reconstructed　transmitted　symbol.　We　further　analyze　the　theoretical　bit　error　rate　(BER)　expressions　of　the　designed　MRA-MC-DCSK　scheme　over　the　frequency　selective　multipath　Rayleigh　fading　channels.　Finally,　we　preform　various　Monte-Carlo　experiments　to　evaluate　the　performance　of　the　MRA-MC-DCSK.　Simulation　results　demonstrate　the　validity　of　the　BER　analysis　and　the　benefits　of　the　designed　MRA-MC-DCSK　scheme　over　the　conventional　MC-DCSK　scheme.　IEEE

Keyword：

Bit error rate Chaotic communication DCSK frequency diversity Frequency diversity frequency-selective fading channel Frequency-selective fading channels Matrix reconstruction multi-carrier Rayleigh channels Receivers Symbols

Community：

[ 1 ] [Tao Y.]School of Information Engineering, Guangdong University of Technology, Guangzhou, China
[ 2 ] [Fang Y.]School of Information Engineering, Guangdong University of Technology, Guangzhou, China
[ 3 ] [Chen P.]Department of Electronic Information, Fuzhou University, Fuzhou, China
[ 4 ] [Ma H.]Electronics and Information Engineering Department, Zhaoqing University, Zhaoqing, China
[ 5 ] [Guizani M.]Department of Machine Learning, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE

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Source ：

IEEE Wireless Communications Letters

ISSN： 2162-2337

Year： 2023

Issue： 11

Volume： 12

Page： 1-1

4 . 6

JCR@2023

4 . 6 0 0

JCR@2023

ESI HC Threshold：32

JCR Journal Grade：1

CAS Journal Grade：3

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ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 0

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