Title
Effects of PRN-Dependent ACF Deviations on GNSS-R Wind Speed Retrieval
Abstract
In global navigation satellite systems reflectometry (GNSS-R), the autocorrelation property of the transmitted GNSS signal is an important factor in the delay-Doppler map of the scattered power. The autocorrelation functions (ACFs) of the GPS Level 1 (L1) coarse/acquisition signals exhibit sidelobes. For some of the pseudorandom noise (PRN) codes, the high-amplitude sidelobes are located within one chip from the main lobe and, thus, broaden or narrow its width. These PRN-dependent ACF deviations can introduce significant biases into the GNSS-R scatterometric observables and the wind speed measurements. Simulation results for Cyclone GNSS (CYGNSS) mission show that the ACF deviation induced wind speed error can be larger than 10% (e.g., 2–3 m/s for 20 m/s and 7–8 m/s for 40 m/s wind speeds). These effects can be corrected efficiently by applying empirical factors on the CYGNSS L1 observables.
Year
DOI
Venue
2019
10.1109/LGRS.2018.2875087
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Global Positioning System,Correlation,Wind speed,Sea surface,Global navigation satellite system,Radar measurements
Pseudorandom noise,Satellite,Wind speed,Remote sensing,Main lobe,GNSS applications,Global Positioning System,Reflectometry,Mathematics,Autocorrelation
Journal
Volume
Issue
ISSN
16
3
1545-598X
Citations 
PageRank 
References 
1
0.39
0
Authors
5
Name
Order
Citations
PageRank
Weiqiang Li1238.00
Estel Cardellach25314.11
Fran Fabra36111.42
S. Ribo412020.67
Antonio Rius513222.33