Research on FOA and TOA estimation algorithm of Galileo SAR signal

Kun Wang*, Zhi Hong Dong, Si Liang Wu

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

In order to estimate FOA and TOA accurately in Galileo Search and Rescue system by considering that the message bit width and the phase edge time are unknown, we present a new FOA and TOA estimation algorithm which combines the algorithm based on Multiple dimensions Joint Maximum Likelihood Estimation criterion and Barycenter calculation algorithm. The FOA and TOA estimation errors of this algorithm can be limited within 0.03Hz and 12us in the condition that carry-to-noise rate (CNR) equals to CNR treatment threshold which is 34.8dBHz and phase edge time is 250us for received signals. Theoretical analysis and measurement results have proved the effectiveness of this algorithm. And the algorithm has been applied to the Galileo MEOLUT station.

Original languageEnglish
Title of host publication2nd International Conference on Information Engineering and Computer Science - Proceedings, ICIECS 2010
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Information Engineering and Computer Science, ICIECS 2010 - Wuhan, China
Duration: 25 Dec 201026 Dec 2010

Publication series

Name2nd International Conference on Information Engineering and Computer Science - Proceedings, ICIECS 2010

Conference

Conference2nd International Conference on Information Engineering and Computer Science, ICIECS 2010
Country/TerritoryChina
CityWuhan
Period25/12/1026/12/10

Keywords

  • Barycenter calculation
  • FOA and TOA estimation
  • Multiple dimensions Joint Maximum Likelihood Estimation
  • Phase edge time

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