Impact of Atmosphere Turbulence on Satellite Navigation Signals

Høeg, Per; Prasad, Ramjee; Borre, Kai

doi:10.1007/978-0-387-47524-0_17

Cited by 2 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The GPS receiver was operating in a 1000 Hz sampling mode using the open-loop approach [19,21]. In addition to the direct GPS signal, having the highest power, the calculated sliding power spectra also identified the ocean reflected signal.…”

Section: Methods and Observationsmentioning

confidence: 99%

Sea Surface Roughness Determination from Grazing Angle GPS Ocean Observations and Scatterometry Simulations

Høeg,

Carlström

2023

Remote Sensing

View full text Add to dashboard Cite

Measurements of grazing angle GNSS-R ocean reflections combined with meteorological troposphere data are used for retrieval of ocean wave heights and surface roughness parameters. The observational results are compared to multiphase screen simulations for the same atmosphere conditions. The retrieved data from observations and simulations give equal results within the error bounds of the methods. The obtained ocean mean wave-heights are almost proportional to the square of the wind speed when applying a first-order approximation model to the high-wave-number part of the measured GNSS-R power spectra. The spectral variances from the measurements link directly to the ocean surface roughness, which is also verified by the performed multiple phase-screen wave propagation simulations. Thus, grazing angle GNSS-R techniques are an efficient method for determining the ocean state and the conditions in the boundary layer of the troposphere.

show abstract

Section: Methods and Observationsmentioning

confidence: 99%

Sea Surface Roughness Determination from Grazing Angle GPS Ocean Observations and Scatterometry Simulations

Høeg,

Carlström

2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…This enabled investigations of the spectral signatures, which normally are not observed with standard GPS receivers, including effects of various sources of multi-path from the surface of the ocean (as wave heights and velocities) and atmosphere turbulence [8,9].…”

Section: Introductionmentioning

confidence: 99%

Information content in reflected global navigation satellite system signals

Høeg

Carlström

2011

2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace &Amp; Elect

View full text Add to dashboard Cite

The direct signals from satellites in global satellite navigation satellites systems (GNSS) as, GPS, GLONASS and GALILEO, constitute the primary source for positioning, navigation and timing from space. But also the reflected GNSS signals contain an important information content of signal travel times and the characteristics of the reflecting surfaces and structure. Ocean reflected signals from GNSS satellite systems reveal the mean height, the significant wave height and the roughness of the ocean. The estimated accuracy of the average surface height can be as low as 10 cm. For low elevations, the signals reveal the incoherent scatter process at the reflection zone. By using open-loop high-precision GNSS receivers, it is possible to provide the in-phase and quadrature components of the signal at high sample rates, which enables investigation of the spectral signatures of the observations. The retrieval method consists of a radio occultation technique for the phase differences between the direct and reflected signal combined with a statistical method. Results are derived through a sequential Bayesian estimation method, where the retrieval algorithms are based on a particle filtering technique. The horizontal size of the probability density function, which uniquely describes the ocean reflection zone using the recursive particle filter method, totals from 200 to 500 meters for all data sets.

show abstract

Impact of Atmosphere Turbulence on Satellite Navigation Signals

Cited by 2 publications

References 3 publications

Sea Surface Roughness Determination from Grazing Angle GPS Ocean Observations and Scatterometry Simulations

Sea Surface Roughness Determination from Grazing Angle GPS Ocean Observations and Scatterometry Simulations

Information content in reflected global navigation satellite system signals

Contact Info

Product

Resources

About