DocumentCode :
1885576
Title :
Research on FOA and TOA Estimation Algorithm of Galileo SAR Signal
Author :
Wang Kun ; Dong Zhi-hong ; Wu Si-liang
Author_Institution :
Radar Technol. Inst., Beijing Inst. of Technol., Beijing, China
fYear :
2010
fDate :
25-26 Dec. 2010
Firstpage :
1
Lastpage :
5
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 0.03 Hz and 12 us in the condition that carry-to-noise rate (CNR) equals to CNR treatment threshold which is 34.8 dBHz and phase edge time is 250 us 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.
Keywords :
maximum likelihood estimation; satellite navigation; time-of-arrival estimation; Barycenter calculation; FOA estimation; Galileo MEOLUT station; Galileo SAR signal; Galileo search and rescue system; TOA estimation; carry-to-noise rate; frequency of arrival estimation; maximum likelihood estimation; medium-altitude Earth orbit local user terminal; time of arrival estimation; Algorithm design and analysis; Baseband; Maximum likelihood estimation; Signal processing algorithms; Time frequency analysis; Time of arrival estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
ISSN :
2156-7379
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
Type :
conf
DOI :
10.1109/ICIECS.2010.5677685
Filename :
5677685
Link To Document :
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