A Generalized Time-Domain Signal Generation Algorithm for FSOC Turbulence Channel Simulation

Haifeng Yao*, Weihao Wang, Jianbing Wang, Yaxin Yang, Jiantong Zhao, Qun Hao*, Shoufeng Tong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To evaluate various methods and techniques proposed for mitigating the effects of atmospheric turbulence on optical communication performance, it is critical to generate optical channel states. Meanwhile, due to the complexity of the communication environment, traditional channel simulation methods are not always applicable. Based on the Gamma-Gamma turbulent channel, we propose a channel simulation method with an autoregressive model and rank matching method, which can simulate any channel condition described by autocorrelation function and probability density distribution. The method is simple to implement and its results are comparable to some more sophisticated methods. Although this paper discusses one-dimensional random signals, the method can also be extended to multiple dimensions, generating multiple random signals with mutual correlation numbers.

Original languageEnglish
Title of host publication2023 6th International Conference on Electronics Technology, ICET 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages664-668
Number of pages5
ISBN (Electronic)9798350337693
DOIs
Publication statusPublished - 2023
Event6th International Conference on Electronics Technology, ICET 2023 - Chengdu, China
Duration: 12 May 202315 May 2023

Publication series

Name2023 6th International Conference on Electronics Technology, ICET 2023

Conference

Conference6th International Conference on Electronics Technology, ICET 2023
Country/TerritoryChina
CityChengdu
Period12/05/2315/05/23

Keywords

  • Channel Simulation
  • Random process
  • atmospheric turbulence
  • gamma-gamma distribution

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