Ionospheric Propagation Effects on GNSS Signals and New Correction Approaches

Hoque, Mainul; Jakowski, N.

doi:10.5772/30090

Cited by 24 publications

(16 citation statements)

References 24 publications

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“…So a highly sensitive receiver with Pmax nearly -100 dBW and much lower processing loss must be used for improving the C/N0 performance. The same is the case with AltBOC (15,10) in the L5 band. Other modulations of AltBOC like AltBOC(5,2) or AltBOC(1,1) can be used as they have better C/N0 degradation.…”

Section: Resultsmentioning

confidence: 62%

Study and Analysis of GNSS Signals using In-house Developed Interference Tool

Mishra¹,

Prabu²,

Banik³

2016

CAE

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Interference analysis of navigation signals belonging to the same group and with the signals of the satellites belonging to other groups is an important parameter that must be considered while designing a GNSS receiver and for introducing a new signal for any GNSS satellite. Troposphere and ionosphere are the layers of the atmosphere which affect the GNSS signals by creating delays and scintillations. Multipath is one of the major cause which creates maximum error budget at the receiver side of the GNSS system. The error budget differs with the type of correlator that is used. The number of navigations satellites and the services provided by them are increasing fast increasing the interference with other signals. So for this reason analysis of the interference of the signal using C/N0 degradation measurement [ITU recommendation M.1831] and the effect of troposphere, ionosphere and multipath on various signals is necessary.In this paper, an attempt has been made to develop a tool for interference analysis of the various GNSS signals, using this tool this paper analyses the degradation of the IRNSS signals due to troposphere, ionosphere and multipath effects of the GNSS signals.

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Section: Resultsmentioning

confidence: 62%

Study and Analysis of GNSS Signals using In-house Developed Interference Tool

Mishra¹,

Prabu²,

Banik³

2016

CAE

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“…This means that the magnetic field has no influence because a magnetic field only imposes a force on charged particles moving perpendicular to the field. Corresponding to this case, the conductivity called field-aligned conductivity (σ F A ) is calculated [22][23][24][25][26][27][28]. b) When propagation direction of the wave is roughly perpendicular to B o corresponding to θ 90 • and B L 0, the propagation direction is named quasi-transverse (QT) approximation.…”

Section: General Expression Of Complex Refractive Index In the Ionospmentioning

confidence: 99%

“…), but also on traveling direction of the electromagnetic wave. In addition, the effects of earth magnetic field (B o ) on free electrons and microwave signal also directly influence the refractive index (n) as well as the relative dielectric permittivity (ε r ), and relative magnetic permeability (μ r ) of the ionized atmosphere [1,5,6,11,18,19,[23][24][25][26][27]. The ionosphere region is considered a dispersive medium with respect to microwave signals, which means that the propagation path of microwave signal through the ionosphere depends mainly on the frequency of the microwave signal.…”

Section: General Expression Of Complex Refractive Index In the Ionospmentioning

confidence: 99%

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Numerical Estimation of the Complex Refractive Indexes by the Altitude Depending on Wave Frequency in the Ionized Region of the Earth Atmosphere for Microwaves Information and Power Transmissions

Nguyen¹,

Dao²,

Tran³

et al. 2016

PIER M

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Abstract-The phase and group refractive indexes of microwaves in the ionosphere region of the earth atmosphere are very important for both the researching theoretical problems and practical problems in wireless information transmission (WIT) and wireless power transmission (WPT). So far, there have been many attempts devoted to discussing and determining characterizations of earth atmosphere's ionosphere region including the refractive indexes of microwaves concerning their velocities in ionized region, unfortunately due to the complicated features of the ionosphere region leading to research task facing many challenges. Up to recent, there is still a lack of systematic numerical data of complex refractive index by altitude depending on high frequencies of the electromagnetic waves in the ionosphere region. This paper outlines some theoretical analyses and discussions of some theoretical aspects of the complex refractive index in atmosphere's ionized region more in detail. Based on conductivities data and the complex relative permittivity by altitude determined previously, the numerically estimated data of complex refractive indexes by the altitude from 100 km up to 1000 km at the different frequencies are also shown and discussed.

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“…A brief introduction of GPS, the navigation system used in the present work, can be found in [13,4,2] where some details about observation modeling of systematic biases and errors affecting GPS measurements are described. Other significant references can be found easily.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of a GPS equipment by general linear models approach

Teodoro

Gonçalves

Correia

2017

AIP Conference Proceedings

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A model-driven approach to information security compliance AIP Conference Proceedings 1836, 020082 (2017) Abstract. One of the major challenges in processing high-accurate long baselines is the presence of un-modelled ionospheric and tropospheric delays. There are effective mitigation strategies for ionospheric biases, such as the ionosphere-free linear combination of L 1 and L 2 carrier-phase, which can remove about 98% of the first-order ionospheric biases. With few exceptions this was the solution found by LGO for the 11760 baselines processed in this research. Therefore, for successful results, the appropriated approach to the mitigation of biases due to tropospheric delays is vital. The main aim of the investigations presented in this work was to evaluate the improvements, or not, of the rate of baselines successfully produced by adopting an advanced tropospheric bias mitigation strategy as opposed to a sample tropospheric bias mitigation approach. In both cases LGO uses as a priori tropospheric model the simplified Hopfield model, improved in the first case with a zenith tropospheric scale factor per station. Being aware that 1D and 2D present different behaviors, both cases are analyzed individually with each strategy.

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Ionospheric Propagation Effects on GNSS Signals and New Correction Approaches

Cited by 24 publications

References 24 publications

Study and Analysis of GNSS Signals using In-house Developed Interference Tool

Study and Analysis of GNSS Signals using In-house Developed Interference Tool

Numerical Estimation of the Complex Refractive Indexes by the Altitude Depending on Wave Frequency in the Ionized Region of the Earth Atmosphere for Microwaves Information and Power Transmissions

Performance analysis of a GPS equipment by general linear models approach

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