Identification of distorted optical signals based on reservoir computing

被引：0
作者：
Dong Xiaowei [1 ]
Wang Xian [1 ]
机构：
[1] North China Univ Technol, Coll Informat Engn, Beijing 100144, Peoples R China
来源：
SPIE-CLP CONFERENCE ON ADVANCED PHOTONICS 2022 | 2023年 / 12601卷
关键词：
Reservoir computing; distorted signals; IQ modulation formation;
D O I：
10.1117/12.2667153
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, we adopt a double-delayed parallel reservoir computing scheme to identify the noise-interfered distorted optical signals with IQ modulation formats (QPSK, 4QAM, 8PSK). Influences of different input layer masks and signal-noise-ratio (SNR) are investigated in detail. Results demonstrate that the proposed photonic reservoir computing can achieve over 97% identification accuracy for distorted QPSK-4QAM or QPSK-8PSK signal sequences.
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页数：4
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