DocumentCode :
628847
Title :
Feasibility study of applying compressed sensing recovery algorithms for launch vehicle telemetry
Author :
Vidya, L. ; Vivekananad, V. ; ShyamKumar, U. ; Mishra, Debahuti ; Lakshminarayanan, R.
fYear :
2013
fDate :
4-6 June 2013
Firstpage :
1
Lastpage :
4
Abstract :
Compressed Sensing (CS) is a new signal acquisition technology that enables the reduction in the number of measurements required for recovery of sparse or compressible signal in some basis. Signal recovery is carried out with the help of optimization techniques. Here we are conducting a review of some of these algorithms and trying to find the best algorithm to make use of that in launch vehicle telemetry system.
Keywords :
compressed sensing; optimisation; signal detection; telemetry; compressed sensing recovery algorithms; compressible signal; launch vehicle telemetry system; optimization techniques; signal acquisition technology; signal recovery; sparse recovery; Approximation algorithms; Compressed sensing; Least squares approximations; Matching pursuit algorithms; Telemetry; Vectors; Artificial Neural Network (ANN); Compressed Sensing (CS); III generation Launch Vehicle (LVM3); Telemetry; convergence rate; measurement matrix; recovery precision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR), 2013 Annual International Conference on
Conference_Location :
Kanjirapally
Print_ISBN :
978-1-4673-5150-8
Type :
conf
DOI :
10.1109/AICERA-ICMiCR.2013.6576044
Filename :
6576044
Link To Document :
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