Doppler location algorithm and performance analysis of low orbit constellation

Huaijian Li, Chao Yin, Xiaojing Du*, Yanbo Wei

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Because of the need of radio backup navigation, Doppler localization algorithm based on low-orbit constellation is analyzed and simulated. Compared with low-orbit single-star Doppler location, low-orbit multi-star Doppler location is less affected by the initial iteration point, and low-orbit multi-star Doppler location needs to converge in short time. Through the comparative analysis and simulation of multi-star Doppler location of low-orbit constellation and medium-orbit constellation, it is concluded that the multi-star Doppler location is more accurate under low-orbit constellation. At the same time, the more stars can be seen in the process of multi-star Doppler localization, the higher the positioning accuracy is.

Original languageEnglish
Title of host publication2022 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665459822
DOIs
Publication statusPublished - 2022
Event4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022 - Chengdu, China
Duration: 28 Oct 202230 Oct 2022

Publication series

Name2022 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022

Conference

Conference4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022
Country/TerritoryChina
CityChengdu
Period28/10/2230/10/22

Keywords

  • convergence
  • doppler positioning
  • initial iteration point
  • low orbit constellation
  • number of visible stars
  • positioning accuracy

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