Flight-Test Evaluation of Integer Ambiguity Resolution Enabled PPP

Ma, Hongyang; Verhagen, Sandra; Psychas, Dimitrios; Marques, Haroldo Antonio

doi:10.1061/(asce)su.1943-5428.0000367

Cited by 6 publications

(2 citation statements)

References 42 publications

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“…The quality of the ambiguity solution, crucial for the high accuracy positioning and its rapid convergence, was analyzed (Silva et al 2020). For example, Ma et al (2021) implemented PPP procedures with integer ambiguity resolution in an airplane test, proofing the concept of improving the navigation accuracy in such application.…”

Section: Gnss Positioning Techniques With Emphasis On New Signalsmentioning

confidence: 99%

The GNSS NavAer INCT Project Overview and Main Results

Monico

Paula

Moraes

et al. 2022

J. Aerosp. Technol. Manag.

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Air navigation is increasingly dependent on the use of Global Navigation Satellite Systems (GNSS). It allows the determination of the aircraft's position in all phases of the flight and brings many advantages. Although GNSS navigation results in gains, the radio signals from these systems are strongly influenced by the ionospheric environment. It introduces errors that can affect the accuracy, integrity, availability and continuity requirements established by the International Civil Aviation Organization (ICAO). The ionospheric layer has different behaviors depending on the latitude, time of day, season of the year, geomagnetic activity and solar cycle. Since Brazil is located in a region of low latitudes, it experiences a series of unique challenges when compared to regions of mid-latitudes. For this reason, the application of GNSS-based technologies in aviation over the Brazilian territory requires an in-depth assessment of the ionosphere effects. Therefore, the Instituto Nacional de Ciência e Tecnologia (INCT) named GNSS Technology for Supporting Air Navigation was formed in 2017 to better assess the ionosphere impacts and assist government agencies and companies in the development of safe air navigation procedures over Brazil in a near future. This paper presents the most relevant advances achieved so far within this multidisciplinary project that involves Brazilian research centers and universities.

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Section: Gnss Positioning Techniques With Emphasis On New Signalsmentioning

confidence: 99%

The GNSS NavAer INCT Project Overview and Main Results

Monico

Paula

Moraes

et al. 2022

J. Aerosp. Technol. Manag.

Self Cite

View full text Add to dashboard Cite

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“…To make it a full rank model, we apply the S-system theory to select a set of parameters as the Sbasis [26]. Examples of the applicability of this theory to PPP-RTK can be found in [27][28][29]. It is worth mentioning that some of the estimable parameters are the combination of the original parameters and the S-basis.…”

Section: Ppp-rtk Model and Tropospheric Correctionsmentioning

confidence: 99%

External Tropospheric Corrections by Using Kriging Interpolation for Improving PPP-RTK Positioning Solutions

Song

Zhu

et al. 2022

Remote Sensing

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With the availability of satellite carrier-phase delay corrections provided by a reference network or the International GNSS Service (IGS), the integer ambiguity resolution for a single receiver can be successfully achieved, which is the so-called PPP-RTK concept. Although PPP-RTK can significantly shorten the convergence time, it is still worthwhile to further investigate fast and high-precision GNSS parameter estimation to improve efficiency and productivity. In order to fully exploit the potential of GNSS for positioning applications, we herein introduce external troposphere corrections as constrained pseudo observables to the undifferenced and uncombined PPP-RTK model. Since the uncertainties of the corrections are considered in the data processing, the PPP-RTK model with the weighted tropospheric corrections is referred to as the tropospheric-weighted model. Kriging interpolation is applied to generate the tropospheric corrections, as well as the corresponding variances. The quality of the tropospheric-weighted model is assessed by the positioning Root Mean Square (RMS) errors and the convergence time to reach a 10 cm accuracy. The 90% 3D convergence time of the kinematic positioning mode of the tropospheric-weighted model is 43.5 min with the ambiguity-float solution and 21.5 min with the ambiguity-fixed solution, which are shortened by 4.5 min and 5.5 min as compared to those of the standard PPP-RTK model, respectively. As for the static positioning mode, the 90% 3D convergence time of the tropospheric-weighted model for the ambiguity-float and -fixed solutions is 25.5 min and 15 min, while the 3D convergence time is 31.5 min and 18.5 min for the standard PPP-RTK model, respectively. The results also show that the tropospheric-weighted model can still work well in a 5 cm convergence threshold.

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