Presentation 2016-03-22
Quaternion neural networks to estimate and predict polarization states in multipath environment
Maoki Hikosaka, Tianben Ding, Akira Hirose,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Channel compensation often employs pre-equalization and/or adaptive diversity schemes. Such techniques require channel prediction because a channel changes in time. Previously, we reported a channel prediction technique to increase the accuracy by focusing on polarization state and combine multiple polarization components estimated in the nearest past signal set. However, when the polarization state is changing as well, this method fails. In this paper, we propose a channel prediction combined with polarization prediction on the unity-radius Poincare sphere by using a quaternion neural network. We demonstrate a higher accuracy in channel prediction, resulting in a low bit error rate.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) quaternion neural networks / channel prediction / diversity / polarization
Paper # NC2015-73
Date of Issue 2016-03-15 (NC)

Conference Information
Committee MBE / NC
Conference Date 2016/3/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tamagawa University
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tetsuo Kobayashi(Kyoto Univ.) / Toshimichi Saito(Hosei Univ.)
Vice Chair Yutaka Fukuoka(Kogakuin Univ.) / Shigeo Sato(Tohoku Univ.)
Secretary Yutaka Fukuoka(akita noken) / Shigeo Sato(Kogakuin Univ.)
Assistant Takenori Oida(Kyoto Univ.) / Ryota Horie(Shibaura Inst. of Tech.) / Hiroyuki Kanbara(Tokyo Inst. of Tech.) / Hisanao Akima(Tohoku Univ.)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Quaternion neural networks to estimate and predict polarization states in multipath environment
Sub Title (in English)
Keyword(1) quaternion neural networks
Keyword(2) channel prediction
Keyword(3) diversity
Keyword(4) polarization
1st Author's Name Maoki Hikosaka
1st Author's Affiliation The University of Tokyo(Univ. Tokyo)
2nd Author's Name Tianben Ding
2nd Author's Affiliation The University of Tokyo(Univ. Tokyo)
3rd Author's Name Akira Hirose
3rd Author's Affiliation The University of Tokyo(Univ. Tokyo)
Date 2016-03-22
Paper # NC2015-73
Volume (vol) vol.115
Number (no) NC-514
Page pp.pp.25-30(NC),
#Pages 6
Date of Issue 2016-03-15 (NC)