High-precision satellite positioning system as a new tool to study the biomechanics of human locomotion

2000 ◽  
Vol 33 (12) ◽  
pp. 1717-1722 ◽  
Author(s):  
Philippe Terrier ◽  
Quentin Ladetto ◽  
Bertrand Merminod ◽  
Yves Schutz
Author(s):  
A. A. Baltiyeva ◽  
◽  
A. S. Raskaliyev ◽  
L. S. Shamganova ◽  
H. Fan ◽  
...  

The world development of science and technology prompts many countries to use their own modern coordinate systems, determined on the basis of satellite measurements. Moreover, the modern system must be characterized by its openness and unity for the entire territory of the country. One of the main problems arising during the creation and operation of our own high-precision positioning satellite systems in the Republic of Kazakhstan are: the lack of domestic satellite equipment, specialized software and test methods for the software and hardware complex. A unique opportunity appeared in the development and testing of the software and hardware complex of the high-precision satellite positioning system at the Kacharsky open pit thanks to the funding of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan through grants for scientific and technical projects for 2018–2020 (grant No. AP05136083) and co-financing of the private partner JSC «SSGPO». The article presents the results of technical solutions for the implementation of a high-precision satellite positioning system, in particular, the creation of a permanent base station (BS) of global navigation satellite systems (GNSS) at operating open pit. The primary purpose of the work is to provide high-precision positioning of an open field in order to determine geodetic coordinates using modern satellite navigation technologies in real-time and post-processing. This development continues the path of introducing the elements of Industry 4.0, which is currently being carried out at the Kacharsky open pit.


Author(s):  
A. A. Baltiyeva ◽  
◽  
A. S. Raskaliyaev ◽  
A. I. Samsonenko ◽  
L. S. Shamganova ◽  
...  

The article presents technical solutions for the implementation of a high-precision satellite positioning system when performing mine surveying in an open pit. A system was put into commercial operation at one of the fields of JSC "Sokolovsko-Sarbayskoe mining and processing production association" (JSC "SSGPO") this year. The project was funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan through grants for scientific and technical projects 2018–2020 and was co-financed by a private partner, JSC "SSGPO". All work was carried out jointly with the Subsidiary Limited Liability Company "Institute of Space Engineering and Technology". The technology of differential correction of GNSS signals in the form of base stations of differential correction (BSDC) allows solving the problems of high-precision satellite positioning. The main task assigned to the continuously operating base station is the collection of code and phase data from GPS/GLONASS satellites and the distribution of this data to users (services of JSC "SSGPO" and specialists of contracting organizations performing mine surveying and geodetic work at the field). Development of a mobile module and the rationale for its inclusion in the BSDC is provided in this work.


Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3701
Author(s):  
Ju-Hyeon Seong ◽  
Soo-Hwan Lee ◽  
Won-Yeol Kim ◽  
Dong-Hoan Seo

Wi-Fi round-trip timing (RTT) was applied to indoor positioning systems based on distance estimation. RTT has a higher reception instability than the received signal strength indicator (RSSI)-based fingerprint in non-line-of-sight (NLOS) environments with many obstacles, resulting in large positioning errors due to multipath fading. To solve these problems, in this paper, we propose high-precision RTT-based indoor positioning system using an RTT compensation distance network (RCDN) and a region proposal network (RPN). The proposed method consists of a CNN-based RCDN for improving the prediction accuracy and learning rate of the received distances and a recurrent neural network-based RPN for real-time positioning, implemented in an end-to-end manner. The proposed RCDN collects and corrects a stable and reliable distance prediction value from each RTT transmitter by applying a scanning step to increase the reception rate of the TOF-based RTT with unstable reception. In addition, the user location is derived using the fingerprint-based location determination method through the RPN in which division processing is applied to the distances of the RTT corrected in the RCDN using the characteristics of the fast-sampling period.


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