Single-mode optical fibre digital decoder based on polarization using a K-nearest neighbour algorithm

被引：0

作者：

Ibanez-Camarillo, David ^{[1
]}

Martinez-Pinon, Fernando ^{[1
]}

Marquez-Olivera, Moises Vicente ^{[1
]}

Hernandez-Herrera, Viridiana Gudelia ^{[1
]}

Vidal-Beltran, Sergio ^{[2
]}

机构：

[1] Inst Politecn Nacl, Ctr Invest & Innovac Tecnol, Ciudad De Mexico, Mexico

[2] Inst Politecn Nacl, Escuela Super Ingn Mecan & Elect, Ciudad De Mexico, Mexico

来源：

ELECTRONICS LETTERS | 2023年 / 59卷 / 18期

关键词：

artificial intelligence; decoding; fibre optic sensors; optical fibre communication; optical fibre polarization;

D O I：

10.1049/ell2.12921

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

It is shown experimentally a new digital optical decoding scheme based on the transmission or polarized light at p polarization planes using a K-Nearest Neighbour (KNN) algorithm through a single-mode optical fibre at 633 nm. The optical power signal is sent at p polarization planes which constitute p classes required for signal bit recognition. Results show that it is possible to recognize 32 polarizations planes, 5 bits, using 4 features corresponding to the measurement of optical power at 4 different angles at the photodetector side with an average assertiveness of 99.02%. It is shown experimentally a new digital optical decoding scheme based on the transmission or polarized light using a K-Nearest Neighbour (KNN) algorithm through a single-mode optical fibre. Results show that it is possible to recognize 5 bits, using features corresponding to the measurement of optical power with an average assertiveness of 99.02%.image

引用

页数：3