DocumentCode :
112623
Title :
Relative Ionospheric Ranging Delay in LEO GNSS Oceanic Reflections
Author :
Xing, Jordi ; Datta-Barua, Seebany ; Garrison, James ; Ridley, Aaron ; Pervan, Boris
Author_Institution :
Dept. of Mater., Mech. & Aerosp. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume :
12
Issue :
7
fYear :
2015
fDate :
Jul-15
Firstpage :
1416
Lastpage :
1420
Abstract :
Global Navigation Satellite System (GNSS) reflectometry leverages signals of opportunity to remotely sense the Earth´s surface for a variety of science investigations. However, ionospheric refraction affects GNSS reflections detected at low Earth orbit (LEO). While multifrequency GNSS enables the elimination of most of the ionospheric error, single-frequency missions are still susceptible to this ranging delay. Motivated by the planned launch of Cyclone GNSS (CYGNSS) in 2016, a single-frequency reflectometry mission, this letter presents a simulation of the relative ionospheric delay that will shift the Delay-Doppler Map (DDM) data product. A mathematical model is presented that defines and characterizes signal propagation delay in the DDM. The model differentiates direct and reflected signals as a sum of path lengths, atmospheric refraction effects, and noise. We simulate representative ionospheric delays from the model associated with the direct and reflected ray paths as a function of satellite elevation angle, latitude, and solar activity. Simulation using the International Reference Ionosphere 2007 shows that differential ionospheric content is inversely proportional to satellite elevation angle and that low latitudes present larger ionospheric impacts on the reflected signals. Finally, high solar activity conditions lift the ionospheric density profile to and possibly above the CYGNSS orbit altitude of 500 km. The ionospheric delay will not generally affect the estimation of wind speed but may affect the CYGNSS signal acquisition and open loop tracking process. Implications of the ionospheric delay in other GNSS reflectometry applications are also discussed.
Keywords :
geophysical signal processing; ionosphere; noise; oceanographic techniques; reflectometry; refraction; remote sensing; satellite navigation; signal detection; solar activity; storms; wind; AD 2007; AD 2016; CYGNSS orbit altitude; CYGNSS signal acquisition; Cyclone GNSS planned launch; DDM data product shift; Earth surface remotely sensing; GNSS reflection; GNSS reflectometry application; Global Navigation Satellite System reflectometry; International Reference Ionosphere; LEO GNSS oceanic reflection; atmospheric refraction effect; delay-Doppler map data product shift; differential ionospheric content; direct ray path; direct signal model differentiation; high solar activity condition; ionospheric delay implication; ionospheric density profile; ionospheric error elimination; ionospheric refraction; larger ionospheric impact; low Earth orbit; mathematical model; multifrequency GNSS; open loop tracking process; path length sum; reflected ray path; reflected signal model differentiation; relative ionospheric delay simulation; relative ionospheric ranging delay; representative ionospheric delay simulation; satellite elevation angle; satellite elevation angle function; satellite elevation latitude function; signal propagation delay characterization; single-frequency mission; single-frequency reflectometry mission; wind speed estimation; Delays; Global Positioning System; Ionosphere; Low earth orbit satellites; Oceans; Receivers; Cyclone Global Navigation Satellite System (GNSS) (CYGNSS); Delay-Doppler Map (DDM); GNSS-R; GNSS-reflected signals; Global Positioning System (GPS); ionosphere; ionospheric effects; reflectometry; total electron content (TEC);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2404912
Filename :
7066920
Link To Document :
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