Polarization Tracking and Optical Nonlinearity Compensation Using Artificial Neural Networks

被引:0
|
作者
Kurokawa, Yuichiro [1 ]
Kyon, Takeru [1 ]
Nakamura, Moriya [1 ]
机构
[1] Meiji Univ, Sch Sci & Technol, Kawasaki, Kanagawa, Japan
关键词
optical nonlinearity; digital signal processing; polarization tracking; artificial neural network; FIR filter;
D O I
暂无
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
We propose a novel polarization-tracking scheme using an artificial neural network (ANN), which can compensate nonlinear waveform distortion at the same time. We investigated the tracking performance of the scheme, comparing with FIR filters.
引用
收藏
页数:3
相关论文
共 50 条
  • [21] Robust Adaptive Tracking Control of the Underwater Robot with Input Nonlinearity Using Neural Networks
    Chen M.
    Jiang B.
    Zou J.
    Feng X.
    International Journal of Computational Intelligence Systems, 2010, 3 (5) : 646 - 655
  • [22] Robust Adaptive Tracking Control of the Underwater Robot with Input Nonlinearity Using Neural Networks
    Chen, Mou
    Jiang, Bin
    Zou, Jie
    Feng, Xing
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2010, 3 (05) : 646 - 655
  • [23] Automated eye tracking system calibration using artificial neural networks
    Coughlin, MJ
    Cutmore, TRH
    Hine, TJ
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2004, 76 (03) : 207 - 220
  • [24] Computational-Complexity Comparison of Artificial Neural Network and Volterra Series Transfer Function for Optical Nonlinearity Compensation
    Otsuka, Yuta
    Fukumoto, Yuta
    Owaki, Shotaro
    Nakamura, Moriya
    23RD OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC2018), 2018,
  • [25] SUBPIXEL LOCALIZATION OF OPTICAL VORTICES USING ARTIFICIAL NEURAL NETWORKS
    Popiolek-Masajada, Agnieszka
    Fraczek, Ewa
    Burnecka, Emilia
    METROLOGY AND MEASUREMENT SYSTEMS, 2021, 28 (03) : 497 - 508
  • [26] OPTICAL CHARACTER-RECOGNITION USING ARTIFICIAL NEURAL NETWORKS
    ALPAYDIN, E
    FIRST IEE INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS, 1989, : 191 - 195
  • [27] Temperature Compensation of ISFET Based pH Sensor Using Artificial Neural Networks
    Bhardwaj, Rishabh
    Majumder, Sagnik
    Ajmera, Pawan K.
    Sinha, Soumendu
    Sharma, Rishi
    Mukhiya, Ravindra
    Narang, Pratik
    PROCEEDINGS OF THE 2017 IEEE REGIONAL SYMPOSIUM ON MICRO AND NANOELECTRONICS (RSM), 2017, : 155 - 158
  • [28] Artificial neural networks in optical communications
    Frackerton, B
    Giakos, GC
    Sobczyk, B
    Formica, V
    Patnekar, N
    VIMS 2002: IEEE INTERNATIONAL SYMPOSIUM ON VIRTUAL AND INTELLIGENT MEASUREMENT SYSTEMS: DISTRIBUTED INTELLIGENT SENSING FOR ADVANCED INTEGRATED VIRTUAL ENVIRONMENTS, 2002, : 136 - 139
  • [29] Tongue Tracking in Ultrasound Images using EigenTongue Decomposition and Artificial Neural Networks
    Fabre, Diandra
    Hueber, Thomas
    Bocquelet, Florent
    Badin, Pierre
    16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5, 2015, : 2410 - 2414
  • [30] Tracking Federal Funds Target Rate Movements Using Artificial Neural Networks
    Quah, Jon T. S.
    Hemamalini, V.
    2008 IEEE CONFERENCE ON SOFT COMPUTING IN INDUSTRIAL APPLICATIONS SMCIA/08, 2009, : 246 - 251