An Underwater Wireless Optical Communication Receiver Based on Depth Conditional Generative Adversarial Network

A technology of wireless optical communication and conditional generation, applied in biological neural network models, optical transmission systems, neural architectures, etc., can solve problems such as unsolvable SD problems and achieve good SD performance

Active Publication Date: 2022-05-03
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the technical defect that the existing offline training DNN method cannot solve the SD problem in this scenario, to provide an underwater wireless optical communication receiver based on depth condition generation confrontation network, and to realize the CSI change of the UOWC system Online Tracking, Signal Generation and Data Recovery

Method used

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  • An Underwater Wireless Optical Communication Receiver Based on Depth Conditional Generative Adversarial Network
  • An Underwater Wireless Optical Communication Receiver Based on Depth Conditional Generative Adversarial Network
  • An Underwater Wireless Optical Communication Receiver Based on Depth Conditional Generative Adversarial Network

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Embodiment 1

[0034] Such as figure 1 As shown, an underwater wireless optical communication receiver based on the depth conditional generation confrontation network, including a signal receiving unit, a conversion unit, and a preprocessing unit; it also includes a CGAN structure and a DNN detector; where:

[0035] The signal receiving unit is used to detect the received signal and perform photoelectric conversion to obtain a time domain signal;

[0036] The conversion unit is used for analog-to-digital conversion and serial-to-parallel conversion of the time-domain signal;

[0037] The preprocessing unit is used to remove the cyclic prefix and perform fast Fourier transform processing on the converted signal to obtain the received signal Y;

[0038] The CGAN structure is used to judge the change of CSI according to the received signal Y and convert it to obtain the converted signal K;

[0039] The DNN detector performs an SD operation on the conversion signal K to obtain an estimated pro...

Embodiment 2

[0106] In order to more fully illustrate the beneficial effects of the present invention, the effectiveness and advancement of the present invention will be further described below in combination with simulation analysis and results. This simulation evaluates the performance of the proposed SGD design and compares it with traditional least squares (Least Squares, LS) and linear minimum mean square error (Linear Minimum Mean Square Error, LMMSE) CE methods.

[0107] Simulation parameter settings

[0108] On the basis of the Monte Carlo method in the literature [3], using the literature [10] M.V.Jamali, P.Nabavi, and J.A.Salehi, "MIMO underwater visible light communications: comprehensive channel study, performance analysis, and multiple-symbol detection , "IEEE Trans. Veh. Technol., vol.67, no.9, pp.8223–8237, 2018 method generated turbulent fading, established a UOWC channel model. As an example, a communication scenario where the UOWC transceiver moves relatively is consider...

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Abstract

The present invention proposes an underwater wireless optical communication receiver based on a depth-conditionally generated adversarial network. The scheme proposes a new DNN detector, which can deal with the SD problem in the UOWC scene where the CSI changes. In this scheme, a CGAN structure is proposed to generate signals with DNN detector training characteristics to assist the SD process. The achievable system performance of most existing DNN designs only depends on the offline training process. Unlike it, the CSI change tracking function provided by the CGAN structure proposed by the present invention can be combined with the network after offline training to realize In-line signal generation for better SD performance.

Description

technical field [0001] The present invention is oriented to the field of Underwater Wireless Optical Communication (UWOC), and designs an underwater wireless optical communication receiver based on a depth-condition generated adversarial network. Background technique [0002] In recent years, Underwater Wireless Optical Communication (UWOC) has been more and more widely used in high-speed wireless communication due to its rich optical bandwidth. Compared with underwater acoustic communication technology, underwater acoustic communication technology uses sound waves to transmit information with a very limited bandwidth (kHz order) and has a large transmission delay. UOWC technology can maintain a low transmission delay. The achieved data rate has been greatly increased to Giga Bit Per Second (Gbps) [1] H.M.Oubei, J.R.Duran, B.Janjua, H.Wang, C.Tsai, Y.Chi, T.Ng, H .Kuo, J.He, M.Alouini, G.Lin, and B.S.Ooi, "4.8Gbit / s 16-QAM-OFDM transmission based on compact 450-nm laser for...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B10/80G06N3/04G06N3/08
CPCH04B10/80G06N3/08G06N3/048G06N3/045
Inventor 江明卢怀因
Owner SUN YAT SEN UNIV
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