학술논문

Feasibility study of applying compressed sensing recovery algorithms for launch vehicle telemetry
Document Type
Conference
Source
2013 Annual International Conference on Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR), 2013 Annual International Conference on. :1-4 Jun, 2013
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Communication, Networking and Broadcast Technologies
Fields, Waves and Electromagnetics
Matching pursuit algorithms
Telemetry
Least squares approximations
Compressed sensing
Vectors
Approximation algorithms
Compressed Sensing (CS)
Artificial Neural Network (ANN)
recovery precision
convergence rate
measurement matrix
III generation Launch Vehicle (LVM3)
Language
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.