A numerical experiment of integrated geodesy

Barzaghi, Riccardo; Benciolini, Battista; Betti, B.; Forlani, G.; Mussio, L.; Sansò, F.

doi:10.1007/bf02519180

Cited by 3 publications

(2 citation statements)

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“…In order to verify the correctness of the observation results and improve the reliability of the results, the method of Redundant Observations in actual work is adopted. The observed results are appropriately corrected according to the principle of Least Squares, to obtain a set of the most reliable results, this process is called measurement adjustment [ 19 ]. This work uses the collaborative positioning method, and the Least Square principle of measurement adjustment is applied to base stations self-positioning.…”

Section: Coordinate Calculationmentioning

confidence: 99%

TOF-Based Fast Self-Positioning Algorithm for UWB Mobile Base Stations

Han

Zhang

Lai³

et al. 2021

Sensors

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To solve the problem of heavy workload and high cost when acquiring the position of Ultra-Wideband (UWB) mobile base stations in sports fields, a fast self-positioning algorithm for UWB mobile base stations algorithm based on Time of Flight (TOF) is proposed. First, according to the layout of the base stations in the sports field, the local coordinate system is determined, and an equation based on the ranging information between the base stations is established; the Least Square method is used to calculate the coordinates of each base station, and the Newton Iteration method is used to converge the positioning results. Then the origin and propagation law of positioning error, as well as the method of reducing the positioning error are analyzed. The simulation data and experimental results show that the average positioning accuracy of the mobile base station is within 0.05 m, which meets the expected accuracy of the base station position measurement. Compared with traditional manual measurement methods, base station self-positioning can effectively save deployment time and reduce workload.

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Section: Coordinate Calculationmentioning

confidence: 99%

TOF-Based Fast Self-Positioning Algorithm for UWB Mobile Base Stations

Han

Zhang

Lai³

et al. 2021

Sensors

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“…Numerous publications have also described research on the development of computational algorithms and data adjustment in integrated geodesy. Such works date even back to the late 1980s and early 1990s, for example [10,11]. In one author's solution, which was the topic of a doctoral dissertation and the results of which are presented in the article [12], a methodology was developed for the adjustment and integration of spatial traverses surveyed using total stationtechniques with reference to GNSS satellite measurements and the geoid.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Adjustment and Spatial Data Integration Algorithms Combining Total Station and GNSS Surveys with an Earth Gravity Model

Karsznia,

Osada,

Muszyński

2023

Applied Sciences

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During the dynamic development of modern technologies based on advanced algorithmic and instrumental solutions, it is essential to integrate geospatial data efficiently. Such an approach is applied in all geo-information services, especially mobile ones, and is helpful in, for example, precise navigation or effective risk management. One leading application is deformation monitoring (structural monitoring) and displacement control surveying. In addition, spatial data integration methods are used in modern accessibility analysis, Smart City ideas, tracing utility networks, and building information modelling (BIM). The last aforementioned technology plays a crucial role in architectural design and construction. In this context, it is crucial to develop efficient and accurate algorithms supporting data fusion, which do not strain the computing resources and operate efficiently online. This paper proposes an algorithm for real-time adjustment of integrated satellite GNSS (global navigation satellite system), total station, and Earth Gravitational Model (EGM) vertical direction data in a geocentric coordinate system based on a statistical general linear mixed model. A numerical example shows that the proposed algorithm of the online adjustment works correctly. The results of the online adjustment are the same as those of the offline adjustment. It is also shown that the GNSS measurements are necessary only at the total station points in the spatial total station traverse. There is no need to add additional merging points of the total station positions because the differences between the results of the online adjustment, including and excluding the merging points, are very small (around 1–2 mm in standard deviation).

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Spatial - temporal modeling

Mussio

Nocera²,

Poli³

1999

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A numerical experiment of integrated geodesy

Cited by 3 publications

References 1 publication

TOF-Based Fast Self-Positioning Algorithm for UWB Mobile Base Stations

TOF-Based Fast Self-Positioning Algorithm for UWB Mobile Base Stations

Real-Time Adjustment and Spatial Data Integration Algorithms Combining Total Station and GNSS Surveys with an Earth Gravity Model

Spatial - temporal modeling

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