Received Optical Power

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The Experts below are selected from a list of 5307 Experts worldwide ranked by ideXlab platform

Junjie Zhang - One of the best experts on this subject based on the ideXlab platform.

Renát Haluška - One of the best experts on this subject based on the ideXlab platform.

  • Prediction of Received Optical Power for Switching Hybrid FSO/RF System
    Electronics, 2020
    Co-Authors: Renát Haluška, Peter Šuľaj, Ľuboš Ovseník, Stanislav Marchevský, Jan Papaj, Ľubomír Doboš
    Abstract:

    This study deals with the problem of fiber-free Optical communication systems—known as free space optics—using Received signal strength identifier (RSSI) prediction analysis for hard switching of Optical fiber-free link to base radio-frequency (RF) link and back. Adverse influences affecting the atmospheric transmission channel significantly impair Optical communications, therefore attention was paid to the practical design, as well as to the implementation of the monitoring device that is used to record and process weather information along a transmission path. The article contains an analysis and methodology of the solution of the high availability of the Optical link. Attention was paid to the technique of hard free space optics (FSO)/RF-switching with regard to the amount of Received Optical Power detected and its relation to the quantities influencing the Optical communication line. For this purpose, selected methods of machine learning were used, which serve to predict the Received Optical Power. The process of analysis of prediction of Received Optical Power is realized by regression models. The study presents the design of the optimal data input matrix model, which forms the basis for the training of the prediction models for estimating the Received Optical Power.

  • prediction of Received Optical Power for switching hybrid fso rf system
    Electronics, 2020
    Co-Authors: Renát Haluška, Peter Šuľaj, Ľuboš Ovseník, Stanislav Marchevský, Jan Papaj, ľubomir Dobos
    Abstract:

    This study deals with the problem of fiber-free Optical communication systems—known as free space optics—using Received signal strength identifier (RSSI) prediction analysis for hard switching of Optical fiber-free link to base radio-frequency (RF) link and back. Adverse influences affecting the atmospheric transmission channel significantly impair Optical communications, therefore attention was paid to the practical design, as well as to the implementation of the monitoring device that is used to record and process weather information along a transmission path. The article contains an analysis and methodology of the solution of the high availability of the Optical link. Attention was paid to the technique of hard free space optics (FSO)/RF-switching with regard to the amount of Received Optical Power detected and its relation to the quantities influencing the Optical communication line. For this purpose, selected methods of machine learning were used, which serve to predict the Received Optical Power. The process of analysis of prediction of Received Optical Power is realized by regression models. The study presents the design of the optimal data input matrix model, which forms the basis for the training of the prediction models for estimating the Received Optical Power.

Qianwu Zhang - One of the best experts on this subject based on the ideXlab platform.

Yingxiong Song - One of the best experts on this subject based on the ideXlab platform.

  • Single Subcarrier Gold Sequences Modulated Timing Synchronization for Upstream OFDMA-PON
    IEEE Photonics Journal, 2017
    Co-Authors: Xizhen Peng, Jian Chen, Yingxiong Song
    Abstract:

    In this paper, we propose a timing synchronization scheme based on Gold sequences modulated on a single subcarrier for the orthogonal frequency-division multiple access passive Optical network (OFDMA-PON). The intensity-modulation and direct-detection real-time experimental demonstrations are carried out over 25-km standard SMF, the performance of the synchronization is investigated by using two Optical network units (ONUs) and one Optical line terminal based on field-programmable gate array. The results show that the accurate timing symbol synchronization can be achieved at Received Optical Power as low as −21 dBm on the condition of sampling frequency offset range from 0 to 70 ppm between two ONUs. The measured bit error rate is below the forward error correction threshold for both ONUs at Received Optical Power of −18 dBm.

Ľubomír Doboš - One of the best experts on this subject based on the ideXlab platform.

  • Prediction of Received Optical Power for Switching Hybrid FSO/RF System
    Electronics, 2020
    Co-Authors: Renát Haluška, Peter Šuľaj, Ľuboš Ovseník, Stanislav Marchevský, Jan Papaj, Ľubomír Doboš
    Abstract:

    This study deals with the problem of fiber-free Optical communication systems—known as free space optics—using Received signal strength identifier (RSSI) prediction analysis for hard switching of Optical fiber-free link to base radio-frequency (RF) link and back. Adverse influences affecting the atmospheric transmission channel significantly impair Optical communications, therefore attention was paid to the practical design, as well as to the implementation of the monitoring device that is used to record and process weather information along a transmission path. The article contains an analysis and methodology of the solution of the high availability of the Optical link. Attention was paid to the technique of hard free space optics (FSO)/RF-switching with regard to the amount of Received Optical Power detected and its relation to the quantities influencing the Optical communication line. For this purpose, selected methods of machine learning were used, which serve to predict the Received Optical Power. The process of analysis of prediction of Received Optical Power is realized by regression models. The study presents the design of the optimal data input matrix model, which forms the basis for the training of the prediction models for estimating the Received Optical Power.