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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/5/1586 |