Abstract | ||
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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 |
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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 Li | 1 | 23 | 8.00 |
Estel Cardellach | 2 | 53 | 14.11 |
Fran Fabra | 3 | 61 | 11.42 |
S. Ribo | 4 | 120 | 20.67 |
Antonio Rius | 5 | 132 | 22.33 |