Variometric approach for real-time GNSS navigation: First demonstration of Kin-VADASE capabilities

Branzanti, Mara; Colosimo, G.; Mazzoni, Augusto

doi:10.1016/j.asr.2016.09.026

Cited by 13 publications

(5 citation statements)

References 11 publications

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“…It has to be stressed that this study aimed at estimating the wave parameters based on GNSS data analysis (see Section 2). Therefore, only the synthetic wave parameters were compared to the results of other research works, being the original methodology Kin-VADASE widely validated (see Section 2, [18]) even if applied to a different environment.The Alghero wave buoy belongs to the “RON-Rete Ondametrica Nazionale” (Italian Wave Measurements Network [26]), managed by ISPRA up to 2014 and now dismissed after about 23 years; the buoy was located offshore the northwest coast of Sardinia and it was exposed to the waves generated by the storm at hand. The six-hourly hindcast wave data provided in analysis by ECMWF (European Centre for Medium-Range Weather Forecasts) and the the hourly wave hindcast data provided by DICCA (Department of Civil, Chemical and Environmental Engineering, University of Genoa, Italy), covering 36 (1979–2014) years over the Mediterranean Sea [27] were also considered.…”

Section: Resultsmentioning

confidence: 99%

“…Indeed, Herbers et al [14] used off-the-shelf GPS receivers able to provide positions with accuracy limited to a few meters, mentioning that sub-meter accuracy is achievable with post-processing methodology only. In this work, we propose to adopt the original methodology Kin-Vadase, presented and widely validated by Branzanti et al [18], able to provide accuracies at decimeter level and at few millimeters/second for positions and velocities directly on-board, respectively (no need of external data, such as differential positioning or precise point positioning) and in real time. With respect to the work of De Girolamo et al [19], this paper deals with a more detailed description of the methods and extends the results.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Wave Characteristics Based on Global Navigation Satellite System Data Installed on Board Sailboats

Girolamo

Crespi

Romano

et al. 2019

Sensors

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This paper illustrates a methodology to get a reliable estimation of the local wave properties, based on the reconstruction of the motion of a moving sailboat by means of GNSS receivers installed on board and an original kinematic positioning approach. The wave parameters reconstruction may be used for many useful practical purposes, e.g., to improve of autopilots, for real-time control systems of ships, to analyze and improve the performance of race sailboats, and to estimate the local properties of the waves. A Class 40 oceanic vessel (ECO40) left from the port of “Riva di Traiano” located close to Rome (Italy) on 19 October 2014 to perform a non-stop sailing alone around the world in energy and food self-sufficiency. The proposed system was installed on ECO40 and the proposed method was applied to estimate the wave properties during a storm in the Western Mediterranean Sea. The results compared against two sets of hindcast data and wave buoy records demonstrated the reliability of the method.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of Wave Characteristics Based on Global Navigation Satellite System Data Installed on Board Sailboats

Girolamo

Crespi

Romano

et al. 2019

Sensors

Self Cite

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“…Additionally, the integration of acceleration to obtain displacement and velocity introduces low-frequency noise, which is commonly reduced with high-pass filters 24 . With HR-GNSS, displacements or velocities are directly obtained with proper observation processing, e.g., Precise Point Positioning (PPP) 2 , 25 or variometric approach (VAD, based on VADASE) 3 , 26 , respectively.…”

Section: Introductionmentioning

confidence: 99%

First feasibility demonstration of GNSS-seismology for anthropogenic earthquakes detection

Kudłacik,

Kapłon,

Kazmierski

et al. 2023

Sci Rep

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High-rate GNSS has been proven effective in characterising waveforms and co-seismic displacements due to medium-to-strong natural earthquakes. No application focused on small magnitude events like shallow anthropogenic earthquakes, where displacements and noise have the same order of magnitude. We propose a procedure based on proper signal detection and filtering of the position and velocity time series obtained from high-rate (10 Hz) GNSS data processing with two intrinsically different approaches (Precise Point Positioning and variometry). We tested it on five mining tremors with magnitudes of 3.4–4.0, looking both at event detection and its kinematic characterisation. Here we show a high agreement, at the level of 1 s, between GNSS and seismic solutions for the earthquake first epoch detection. Also, we show that high-rate multi-constellation (GPS + Galileo) GNSS can reliably characterise low-magnitude shallow earthquakes in terms of induced displacements and velocities, and, including their peak values, respectively, at the level of very few millimetres and 1–2 cm/s, paving the way to the routine use of GNSS-seismology for monitoring human activities prone to cause small earthquakes and related potential damages.

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“…However, a series of studies indicate that the conventional approaches have their pros and cons in velocimetry. For instance, the carrier phase-based approach, although with higher accuracy, outputs the betweenepoch average velocity [10,15]. Similarly, the position difference approach outputs the average velocity of between-epoch, with lower accuracy.…”

Section: Introductionmentioning

confidence: 99%

GNSS velocimeter by adaptively combining carrier phase and Doppler measurements

Zhang

Chang

Chen

et al. 2020

IET Science, Measurement & Technology

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Variometric approach for real-time GNSS navigation: First demonstration of Kin-VADASE capabilities

Cited by 13 publications

References 11 publications

Estimation of Wave Characteristics Based on Global Navigation Satellite System Data Installed on Board Sailboats

Estimation of Wave Characteristics Based on Global Navigation Satellite System Data Installed on Board Sailboats

First feasibility demonstration of GNSS-seismology for anthropogenic earthquakes detection

GNSS velocimeter by adaptively combining carrier phase and Doppler measurements

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