Real Time PPP Applied to Airplane Fligtht Tests

Monico, J. F. Galera; Marques, Haroldo Antonio; Tsuchiya, Ítalo; Oyama, Rogério Takeshi; Queiroz, William Robson Silva de; Souza, Maurício C. de; Wentz, Jens Peter

doi:10.1590/s1982-21702019000200009

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…The basic observation equation of the PPP measurement technique can be written as follows [33,34,36]:…”

Section: Positioning Model Of the Ppp Methods For Gps And Glonass Solutionsmentioning

confidence: 99%

New Methodology for Computing the Aircraft’s Position Based on the PPP Method in GPS and GLONASS Systems

Krasuski¹,

Wierzbicki²

2021

Energies

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In the field of air navigation, there is a constant pursuit for new navigation solutions for precise GNSS (Global Navigation Satellite System) positioning of aircraft. This study aims to present the results of research on the development of a new method for improving the performance of PPP (Precise Point Positioning) positioning in the GPS (Global Positioning System) and GLONASS (Globalnaja Nawigacionnaja Sputnikovaya Sistema) systems for air navigation. The research method is based on a linear combination of individual position solutions from the GPS and GLONASS systems. The paper shows a computational scheme based on the linear combination for geocentric XYZ coordinates of an aircraft. The algorithm of the new research method uses the weighted mean method to determine the resultant aircraft position. The research method was tested on GPS and GLONASS kinematic data from an airborne experiment carried out with a Seneca Piper PA34-200T aircraft at the Mielec airport. A dual-frequency dual-system GPS/GLONASS receiver was placed on-board the plane, which made it possible to record GNSS observations, which were then used to calculate the aircraft’s position in CSRS-PPP software. The calculated XYZ position coordinates from the CSRS-PPP software were then used in the weighted mean model’s developed optimization algorithm. The measurement weights are a function of the number of GPS and GLONASS satellites and the inverse of the mean error square. The obtained coordinates of aircraft from the research model were verified with the RTK-OTF solution. As a result of the research, the presented solution’s accuracy is better by 11–87% for the model with a weighting scheme as a function of the inverse of the mean error square. Moreover, using the XYZ position from the RTKLIB program, the research method’s accuracy increases from 45% to 82% for the model with a weighting scheme as a function of the inverse of the square of mean error. The developed method demonstrates high efficiency for improving the performance of GPS and GLONASS solutions for the PPP measurement technology in air navigation.

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“…The basic observation equation of the PPP measurement technique can be written as follows [33,34,36]:…”

Section: Positioning Model Of the Ppp Methods For Gps And Glonass Solutionsmentioning

confidence: 99%

New Methodology for Computing the Aircraft’s Position Based on the PPP Method in GPS and GLONASS Systems

Krasuski¹,

Wierzbicki²

2021

Energies

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“…1 shows the network used in this study which contains 20 stations of the Brazilian Active Control Network (Fortes et al 2009). The flight test was carried out in 1-Sept-2009 equipped with a NovAtel dual-frequency GPS receiver (Monico et al, 2019). The sample rate of the flight data is 2 Hz, and the duration is approximate 3 hours.…”

Section: Airplane Data Tests and Analyzesmentioning

confidence: 99%

“…Among others, aircraft navigation by means of PPP has been widely studied, and the number of aircraft including airplanes and unmanned aerial vehicles (UAV) equipped with GNSS receiver chipset is increasing. Monico et al (2019) implemented real-time PPP methodology in two airplane flight tests and found that the accuracy of 30 cm for the horizontal and 50 cm for the vertical component can be achieved in the use of GPS real-time orbit and clock products as compared to the relative positioning solutions. Teunissen et al (2011) proposed a new algorithm for GNSS attitude determination and analyzed its performance in different platforms, including ground, maritime and airplane.…”

Section: Introductionmentioning

confidence: 99%

Flight-Test Evaluation of Integer Ambiguity Resolution Enabled PPP

Verhagen

Psychas

et al. 2021

J. Surv. Eng.

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The technology of integer ambiguity resolution enabled precise point positioning (also referred to as PPP-AR) has been proven capable of providing comparable accuracy, efficiency and productivity to long-baseline Real-Time Kinematic positioning (RTK) during the last decade. Commercial PPP-AR services have been provided by different institutions and companies and have been widely used in geodetic missions. However, the usage and research of the PPP-AR mostly concentrated on nonaviation applications, e.g., vehicle navigation, surveying and mapping and monitoring crustal motions. Few of them focused on fixing the ambiguities during an aircraft flight. In this contribution, we implemented the PPP-AR technique for the first time in an airplane flight test to investigate how much the fixed ambiguities could contribute to airplane positioning solutions in the challenging circumstances, including high velocity and severe maneuver. We first looked into the influences of the tropospheric delay on the positioning and ambiguity solutions since the height of the airplane may dramatically change within a narrow time span, and thus a proper constraint of this parameter was crucial for the computation of the tropospheric effects. Then how to fix the ambiguities successfully and reliably in the challenging circumstances was discussed. Finally, the airplane data was processed in 15 s and 1 s interval with ambiguity float and fixed solution under different configurations to illustrate in which condition and to what extent the fixed ambiguities can improve the airplane positioning accuracy.

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“…For example, GPS data have been used to measure precipitable water with an RMS error of 4.6 mm compared with MODIS [9], or with no statistical difference compared with MODIS in a tropical region [10]. The advantage of using GPS signals for remote sensing is that GPS data have high temporal resolution and can be obtained in real-time [11]. Furthermore, GPS data are available under any weather conditions.…”

Section: Introductionmentioning

confidence: 99%

Determination of Air Urban Heat Island Parameters with High-Precision GPS Data

et al. 2022

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The urban heat island (UHI) effect can contribute to extreme heat exposure. This can be detrimental to human health. In this paper, we propose a method to estimate air temperature to evaluate the spatial distribution and to monitor the intensity of the air urban heat island (AUHI) from existing GPS infrastructure. The proposed algorithm is based on the relationship between the refractivity of the troposphere and environmental variables, as well as the relationships between the zenith tropospheric delay (ZTD), a by-product of the precise point positioning technique, and the refractivity of the troposphere. The advantage of GPS data is its high temporal resolution and the availability of embedded GPS receivers. In this paper, GPS-derived ZTD data from stations in the Hong Kong Special Administrative Region (HKSAR) of China and Tokyo in Japan are processed to estimate the hourly AUHI intensity. The results derived from this technique are validated using meteorological data in the same cities. Mean absolute error values of 0.79 °C in Hong Kong and 0.22 °C in Tokyo are found from data from the summer. Moreover, an overall accuracy of 0.51 °C is found.

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Real Time PPP Applied to Airplane Fligtht Tests

Cited by 8 publications

References 21 publications

New Methodology for Computing the Aircraft’s Position Based on the PPP Method in GPS and GLONASS Systems

New Methodology for Computing the Aircraft’s Position Based on the PPP Method in GPS and GLONASS Systems

Flight-Test Evaluation of Integer Ambiguity Resolution Enabled PPP

Determination of Air Urban Heat Island Parameters with High-Precision GPS Data

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