Energy Efficient GNSS Signal Acquisition Using Singular Value Decomposition (SVD)

Energy Efficient GNSS Signal Acquisition Using Singular Value Decomposition (SVD)

A significant challenge in global navigation satellite system (GNSS) signal processing is a requirement for a very high sampling rate. The recently-emerging compressed sensing (CS) theory makes processing GNSS signals at a low sampling rate possible if the signal has a sparse representation in a cer...

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Bibliographic Details
Main Authors: Juan Carlos Bermúdez Ordoñez, Rosa María Arnaldo Valdés, Fernando Gómez Comendador
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Sensors
Subjects:
GNSS
GPS
compressed Sensing
sparse approximation
Online Access:http://www.mdpi.com/1424-8220/18/5/1586

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