Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars Exploration

In Mars exploration the effective time of communication between orbiters is short, and the relative distance and gesture between them change fast. The signal to noise ratio (SNR) estimation is required in receiver to change adaptively the data rate in the communication system. Therefore, SNR estimat...

Full description

Bibliographic Details
Main Authors: Sun Ze-Zhou, Wang Cheng-Hua, Zhang Xiao-Fei
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:ITM Web of Conferences
Online Access:https://doi.org/10.1051/itmconf/20171103006
id doaj-a19f811331ae4cc880b1c715a655e88d
record_format Article
spelling doaj-a19f811331ae4cc880b1c715a655e88d2021-02-02T00:49:05ZengEDP SciencesITM Web of Conferences2271-20972017-01-01110300610.1051/itmconf/20171103006itmconf_ist2017_03006Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars ExplorationSun Ze-ZhouWang Cheng-Hua0Zhang Xiao-Fei1College of Electronic and Information Engineering, Nanjing University of Aeronautics and AstronauticsCollege of Electronic and Information Engineering, Nanjing University of Aeronautics and AstronauticsIn Mars exploration the effective time of communication between orbiters is short, and the relative distance and gesture between them change fast. The signal to noise ratio (SNR) estimation is required in receiver to change adaptively the data rate in the communication system. Therefore, SNR estimation is a key technique in adaptive data transmission. We propose a blind SNR estimation for communication between orbiters in Mars exploration via subspace method. The subspace method has better SNR estimation than some conventional SNR estimation algorithms. Numerical simulations demonstrate the effectiveness and improvement of the proposed algorithm.https://doi.org/10.1051/itmconf/20171103006
collection DOAJ
language English
format Article
sources DOAJ
author Sun Ze-Zhou
Wang Cheng-Hua
Zhang Xiao-Fei
spellingShingle Sun Ze-Zhou
Wang Cheng-Hua
Zhang Xiao-Fei
Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars Exploration
ITM Web of Conferences
author_facet Sun Ze-Zhou
Wang Cheng-Hua
Zhang Xiao-Fei
author_sort Sun Ze-Zhou
title Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars Exploration
title_short Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars Exploration
title_full Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars Exploration
title_fullStr Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars Exploration
title_full_unstemmed Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars Exploration
title_sort subspace method-based blind snr estimation for communication between orbiters in mars exploration
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2017-01-01
description In Mars exploration the effective time of communication between orbiters is short, and the relative distance and gesture between them change fast. The signal to noise ratio (SNR) estimation is required in receiver to change adaptively the data rate in the communication system. Therefore, SNR estimation is a key technique in adaptive data transmission. We propose a blind SNR estimation for communication between orbiters in Mars exploration via subspace method. The subspace method has better SNR estimation than some conventional SNR estimation algorithms. Numerical simulations demonstrate the effectiveness and improvement of the proposed algorithm.
url https://doi.org/10.1051/itmconf/20171103006
work_keys_str_mv AT sunzezhou subspacemethodbasedblindsnrestimationforcommunicationbetweenorbitersinmarsexploration
AT wangchenghua subspacemethodbasedblindsnrestimationforcommunicationbetweenorbitersinmarsexploration
AT zhangxiaofei subspacemethodbasedblindsnrestimationforcommunicationbetweenorbitersinmarsexploration
_version_ 1724312923967324160