Timing Advance Estimation with Robustness to Frequency Offset in Satellite Mobile Communications

Yukun Zhang, Li Zhen, Guangyue Lu, Keping Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Timing advance (TA) estimation based on Zadoff-Chu (ZC) sequences is susceptible to carrier frequency offset (CFO), especially in high-dynamic satellite mobile communication scenarios with large Doppler shift. To solve this problem, a novel random access (RA) preamble sequence is first constructed by combining the real and imaginary part of a root ZC sequence, which entirely inherits the excellent correlation properties of the ZC sequence. With the aim of mitigating the adverse impact of large CFO, we further present a multi-peak joint detection algorithm that can obtain accurate TA value in once correlation operation without additional resource consumption and computational complexities. Numerical results consist with the mathematical analysis, and exhibit the robustness of the proposed method to large CFO in terms of error detection probability (EDP) and timing mean square error (MSE).

Original languageEnglish
Title of host publication2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages917-922
Number of pages6
ISBN (Electronic)9781728173276
DOIs
Publication statusPublished - 2020 Aug 9
Event2020 IEEE/CIC International Conference on Communications in China, ICCC 2020 - Chongqing, China
Duration: 2020 Aug 92020 Aug 11

Publication series

Name2020 IEEE/CIC International Conference on Communications in China, ICCC 2020

Conference

Conference2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
Country/TerritoryChina
CityChongqing
Period20/8/920/8/11

Keywords

  • Satellite communication
  • Zadoff-Chu sequence
  • preamble
  • random access
  • timing advance

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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