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