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Adaptive rateless coding scheme for deep-space Ka-band communications

  • Harbin Institute of Technology Shenzhen
  • The University of Sydney
  • Zhaoqing University

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

Abstract

The deep-space Ka-band channels are very sensitive to the weather conditions of the ground station area, where the data link will be suffered by high dynamic bit error rate and even occurred random interruption. Moreover, the huge distance of the deep-space communications caused that the transmitter can only have delayed channel state information (CSI) feedback. We modeled the noise temperature of the Ka-band link as an N-state Markov model based on the Autoregressive (AR) analysis in this paper, and then proposed a low-error channel state estimation algorithm. Furthermore, we designed an adaptive rateless coding scheme based on Analog fountain codes (AFC), which is capable to adjust code-rate to maximize the usage of the Ka-band link. Simulation results show that the proposed scheme have capacity-approaching performance, can increase system throughput and improve transmission efficiency.

Original languageEnglish
Title of host publicationProceedings - WiSEE 2016
Subtitle of host publication2016 IEEE International Conference on Wireless for Space and Extreme Environments
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-81
Number of pages5
ISBN (Electronic)9781509026098
DOIs
StatePublished - 2016
Externally publishedYes
Event2016 IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2016 - Aachen, Germany
Duration: 26 Sep 201628 Sep 2016

Publication series

NameProceedings - WiSEE 2016: 2016 IEEE International Conference on Wireless for Space and Extreme Environments

Conference

Conference2016 IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2016
Country/TerritoryGermany
CityAachen
Period26/09/1628/09/16

Keywords

  • Analog fountain code
  • Autoregressive analysis
  • Deep-space communications
  • Ka-band
  • N-Markov model

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