DocumentCode
1883577
Title
Efficiency analysis for signal combining of antenna arraying in deep space TT&C systems
Author
Lu, Manhong ; Zhou, Sanwen Zhou ; Huang, Jianguo ; Meng, Qingwei
Author_Institution
Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
fYear
2012
fDate
12-15 Aug. 2012
Firstpage
560
Lastpage
564
Abstract
Antenna arraying is an efficient method to increase antenna equivalent gain in deep space telemetry tracking and command (TT&C) applications where the signal to noise ratio (SNR) is so low that the received signals from the space craft can not be efficiently processed at the receiver. Combining efficiency is the key factor to determine which combining method can be employed for antenna arraying in deep space communications. However, no related researches have been carried out in the literatures. In this paper, detailed theoretic analysis is carried out for the combining efficiency for full-spectrum combining (FSC) methods, which can provide reference for TT&C receiver designers. Analysis results show that the SUMPLE correlation algorithm is optimal in combining efficiency, higher combining efficiency can be gained with higher SNR at each antenna, more antennas, narrower correlation bandwidth and narrower phase difference loop bandwidth.
Keywords
antenna arrays; space communication links; space telemetry; space vehicles; SUMPLE correlation; TT&C receiver designers; antenna arraying; antenna equivalent gain; deep space TT&C systems; deep space communications; full-spectrum combining methods; received signals; signal combining; signal to noise ratio; spacecraft; telemetry tracking and command applications; Algorithm design and analysis; Antenna arrays; Bandwidth; Correlation; Power capacitors; Signal to noise ratio; antenna arraying; combining efficiency analysis; deep space TT&C; full-spectrum combining;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-2192-1
Type
conf
DOI
10.1109/ICSPCC.2012.6335694
Filename
6335694
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