GNSS satellite transmit power and its impact on orbit determination

Steigenberger, Peter; Thoelert, Steffen; Montenbruck, Oliver

doi:10.1007/s00190-017-1082-2

Cited by 106 publications

(51 citation statements)

References 36 publications

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“…Rearranging (2) it is possible to express the maximum detectable range for a certain set of configurations. The values for each parameter where selected according to [17] and are summarised in Table I. Particularly, two satellite constellations are considered; GPS and Galileo.…”

Section: A Link Budgetmentioning

confidence: 99%

GNSS Based Passive Radar for UAV Monitoring

Ilioudis

Cao

Theodorou

et al. 2019

2019 IEEE Radar Conference (RadarConf)

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Monitoring of unmanned aerial vehicle (UAV) targets has been a subject of great importance in both defence and security sectors. In this paper a novel system is introduced based on a passive bistatic radar using Global Navigation Satellite Systems (GNSS) as illuminators of opportunity. Particularly, a link budget analysis is held to determine the capabilities and limitations of such a system. Additionally, a signal reconstruction algorithm is provided allowing estimation of the transmitted signal from each satellite. Finally, the proposed system is tested in outdoor acquisitions of small UAV targets where the Fractional Fourier Transform (FrFT) is used as tool to enhance target detectability.

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Section: A Link Budgetmentioning

confidence: 99%

GNSS Based Passive Radar for UAV Monitoring

Ilioudis

Cao

Theodorou

et al. 2019

2019 IEEE Radar Conference (RadarConf)

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“…In the orbit prediction tests, the force models used include SRP (Li et al, 2018), TRR (Thermal Re-radiation Pressure), ERP (Earth Radiation Pressure) (Li et al, 2017) and Antenna Thrust (the transmitted power is found in Steigenberger et al (2018)). The nominal attitude is applied during eclipses.…”

Section: The Impact On Orbit Predictionmentioning

confidence: 99%

A shadow function model based on perspective projection and atmospheric effect for satellites in eclipse

Ziebart

Bhattarai

et al. 2019

Advances in Space Research

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Accurate Solar Radiation Pressure (SRP) modelling is critical for correctly describing the dynamics of satellites. A shadow function is a unitless quantity varying between 0 and 1 to scale the solar radiation flux at a satellite's location during eclipses. Errors in modelling shadow function lead to inaccuracy in SRP that degrades the orbit quality. Shadow function modelling requires solutions to a geometrical problem (Earth's oblateness) and a physical problem (atmospheric effects). This study presents a new shadow function model (PPM atm) which uses a perspective projection based approach to solve the geometrical problem rigorously and a linear function to describe the reduction of solar radiation flux due to atmospheric effects. GRACE (Gravity Recovery And Climate Experiment) satellites carry accelerometers that record variations of non-conservative forces, which reveal the variations of shadow function during eclipses. In this study, the PPM atm is validated using accelerometer observations of the GRACE-A satellite. Test results show that the PPM atm is closer to the variations in accelerometer observations than the widely used SECM (Spherical Earth Conical Model). Taking the accelerometer observations derived shadow function as the "truth", the relative error in PPM atm is-0.79 % while the SECM 11.07%. The influence of the PPM atm is also shown in orbit prediction for Galileo satellites. Compared with the SECM, the PPM atm can reduce the radial orbit error RMS by 5.6 cm over a 7-day prediction. The impacts of the errors in shadow function modelling on the orbit remain to be systematic and should be mitigated in long-term orbit prediction.

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“…Nevertheless, although Global Positioning System (GPS), Global Navigation Satellite System (GLONASS) and Galileo satellites are Medium Earth orbit (MEO) satellites, Beidou-2 satellites have different orbit types, including the MEO, geostationary orbit (GEOS) and inclined geosynchronous orbit (IGSO). Some important utilized system parameters of the main GNSS are given in Table 6 [46][47][48][49][50]. Orbiton software is used to calculate the number of GNSS satellites simultaneously in the sky above Beijing.…”

Section: Gnss Bistatic Scattering Rfi Case Analysismentioning

confidence: 99%

Performance and Requirements of GEO SAR Systems in the Presence of Radio Frequency Interferences

Guarnieri

et al. 2018

Remote Sensing

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Geosynchronous Synthetic Aperture Radar (GEO SAR) is a possible next generation SAR system, which has the excellent performance of less than one-day revisit and hundreds of kilometres coverage. However, Radio Frequency Interference (RFI) is a serious problem, because the specified primary allocation frequencies are shared by the increasing number of microwave devices. More seriously, as the high orbit of GEO SAR makes the system have a very large imaging swath, the RFI signals all over the illuminated continent will interfere and deteriorate the GEO SAR signal. Aimed at the RFI impact in GEO SAR case, this paper focuses on the performance evaluation and the system design requirement of GEO SAR in the presence of RFI impact. Under the RFI impact, Signal-to-Interference-plus-Noise Ratio (SINR) and the required power are theoretically deduced both for the ground RFI and the bistatic scattering RFI cases. Based on the theoretical analysis, performance evaluations of the GEO SAR design examples in the presence of RFI are conducted. The results show that higher RFI intensity and lower working frequency will make the GEO SAR have a higher power requirement for compensating the RFI impact. Moreover, specular RFI bistatic scattering will give rise to the extremely serious impact on GEO SAR, which needs incredible power requirements for compensations. At last, real RFI signal behaviours and statistical analyses based on the SMOS satellite, Beidou-2 navigation satellite and Sentinel-1 A data have been given in the appendix.

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GNSS satellite transmit power and its impact on orbit determination

Cited by 106 publications

References 36 publications

GNSS Based Passive Radar for UAV Monitoring

GNSS Based Passive Radar for UAV Monitoring

A shadow function model based on perspective projection and atmospheric effect for satellites in eclipse

Performance and Requirements of GEO SAR Systems in the Presence of Radio Frequency Interferences

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