Relevant bibliographies by topics / Real-Time Kinematic (RTK)

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Academic literature on the topic 'Real-Time Kinematic (RTK)'

Author: Grafiati
Published: 11 December 2022
Last updated: 26 January 2023

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Journal articles on the topic "Real-Time Kinematic (RTK)"

1

Safrel, Ispen, Eko Nugroho Julianto, and Nur Qudus Usman. "Accuracy Comparison between GPS Real Time Kinematic (RTK) Method and Total Station to Determine The Coordinate of An Area." Jurnal Teknik Sipil dan Perencanaan 20, no. 2 (2018): 123–30. http://dx.doi.org/10.15294/jtsp.v20i2.16284.

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Abstract. Survey with GPS Real Time Kinematic (RTK) has the advantage of being faster and easier than the total station, but on the other hand the accuracy of GPS Real Time Kinematic (RTK) is considered lacking. This study was to determine the comparison of accuracy and efficiency of measuring land parcels using a total station and GPS Real Time Kinematic (RTK) method. The research location is at the Universitas Negeri Semarang campus by selecting areas that are open or unobstructed to satellites and congested areas or which have many obstacles to satellites. The results of this study indicate that for open areas, measurement with GPS Real Time Kinematic (RTK) method reaches a horizontal accuracy of 0.040 m with a time of 16 minutes 16 seconds. While the measurement using a horizontal accuracy of 0.00 Total Station with a length of time of 26 minutes 47 seconds. For areas that are densely measured, GPS Real Time Kinematic (RTK) achieves horizontal accuracy of 10.053 m with a length of time of 39 minutes 27 seconds. While the measurement using a precision horizontal Total Station 0.00 with the length of time 25 minutes 41 seconds.
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Chen, Shichao, Fugang Lu, Ming Liu, Jingbiao Wei, and Mengdao Xing. "Achieving Millimetre Wave Seeker Performance Evaluation Based on the Real-Time Kinematic." Journal of Sensors 2020 (December 23, 2020): 1–13. http://dx.doi.org/10.1155/2020/8815622.

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The millimetre wave (MMW) seeker can realize target detection under all weather conditions, the performance of which directly determines the design of the control algorithms. To guarantee the hitting accuracy and damaging effect of the expensive MMW guidance missile, assessing the performance of the seeker is indispensable before the launching of the missile. Real tactical environment of the seeker cannot be simulated comprehensively by indoor laboratories, and high-precision evaluation method outdoor is desperately needed. Focusing on the problem, a method for outdoor MMW seeker performance evaluation is proposed via the real-time kinematic (RTK) technology in this paper, which has the advantages of high-precision orientation and working ability under all climates. Firstly, the geometry of the seeker performance evaluation system is constructed, guaranteeing the effective working of the RTK. And then, the key parameters associated with the guidance control are calculated on the basis of the global position system (GPS) measurements. Finally, comparisons are made between the parameters obtained based on the RTK and the seeker outputs. Besides, for the performance assessment of the MMW seeker towards moving targets, a time synchronization method for different GPS carrier platforms is presented. The effectiveness of the proposed method is validated by the mooring test-fly experiments. Experimental results demonstrate that the performance of the MMW seeker can be evaluated effectively by using the proposed RTK-based method.
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3

Niu, Zun, Fugui Guo, Qiangqiang Shuai, Guangchen Li, and Bocheng Zhu. "The Integration of GPS/BDS Real-Time Kinematic Positioning and Visual–Inertial Odometry Based on Smartphones." ISPRS International Journal of Geo-Information 10, no. 10 (2021): 699. http://dx.doi.org/10.3390/ijgi10100699.

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The real-time kinematic positioning technique (RTK) and visual–inertial odometry (VIO) are both promising positioning technologies. However, RTK degrades in GNSS-hostile areas, where global navigation satellite system (GNSS) signals are reflected and blocked, while VIO is affected by long-term drift. The integration of RTK and VIO can improve the accuracy and robustness of positioning. In recent years, smartphones equipped with multiple sensors have become commodities and can provide measurements for integrating RTK and VIO. This paper verifies the feasibility of integrating RTK and VIO using smartphones, and we propose an improved algorithm to integrate RTK and VIO with better performance. We began by developing an Android smartphone application for data collection and then wrote a Python program to convert the data to a robot operating system (ROS) bag. Next, we established two ROS nodes to calculate the RTK results and accomplish the integration. Finally, we conducted experiments in urban areas to assess the integration of RTK and VIO based on smartphones. The results demonstrate that the integration improves the accuracy and robustness of positioning and that our improved algorithm reduces altitude deviation. Our work can aid navigation and positioning research, which is the reason why we open source the majority of the codes at our GitHub.
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4

Nguyen, Ba Dat, Hoang Long Nguyen, Quoc Hung Nguyen, et al. "Designing an outdoor machinery monitoring device with integrated real-time kinematic positioning." Ministry of Science and Technology, Vietnam 64 (October 12, 2022): 28–32. http://dx.doi.org/10.31276/vjst.64(10db).28-32.

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Accurate positioning ofoutdoor vehicles and machinery is of the top importance inmanagement, tracking, analysis, and control applications. However, most of the current vehicle tracking devices have an error of a few meters to several tens of meters,which is not enough for applications requiring high accuracy. This paper presents the design of an outdoor machinery monitoring device that integrates precise positioning technology of real-time kinematic (RTK). The device uses U-Blox’s Zed F9P module as the core to perform the high accuracy positioning function. Thanks to the integration of RTK positioning technology, the device can monitor the location of machinery outdoors with centimeter-level accuracy.
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5

No, Sun-Joon, Joong-Hee Han, and Jay Hyoun Kwon. "Accuracy Analysis of Network-RTK(VRS) for Real Time Kinematic Positioning." Korean Journal of Geomatics 30, no. 4 (2012): 389–96. http://dx.doi.org/10.7848/ksgpc.2012.30.4.389.

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6

Lee, Eun Soo, Sung Ho Cho, and Dae Yong Um. "Analysis on the Accuracy of a Network Real Time Kinematic GPS Using the Steel Tape and Triangulation." Applied Mechanics and Materials 446-447 (November 2013): 1601–5. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1601.

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The purpose of this Study is to analyze the accuracy of a network RTK GPS, by performing taping, triangulation & Network RTK (Real Time Kinematic) GPS observation on certain measuring points and comparing all locational data based on the calculational & geometric solution method. The deviation in the measured length & coordinate between the steel tape and the Network RTK GPS was within 2cm while the deviation in the measured coordinate between the triangulation and the Network RTK GPS was within 3cm. With the fact that the performance of the taping or the triangulation is less sensitive to its surroundings taken into consideration, it could be concluded that an average locational accuracy of most Network RTK GPS processes in Korea was within 3cm.
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7

Tomaszewski, Dariusz, Paweł Wielgosz, Jacek Rapiński, et al. "Assessment of Centre National d’Études Spatiales Real-Time Ionosphere Maps in Instantaneous Precise Real-Time Kinematic Positioning over Medium and Long Baselines." Sensors 20, no. 8 (2020): 2293. http://dx.doi.org/10.3390/s20082293.

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Precise real-time kinematic (RTK) Global Navigation Satellite System (GNSS) positioning requires fixing integer ambiguities after a short initialization time. Originally, it was assumed that it was only possible at a relatively short distance from a reference station (<10 km), because otherwise the atmospheric effects prevent effective ambiguity fixing. Nowadays, through the use of VRS, MAC, or FKP corrections, the distances to the closest reference station have been increased to around 35 km. However, the baselines resolved in real time are not as far as in the case of static positioning. Further extension of the baseline requires the use of an ionosphere-weighted model with ionospheric delay corrections available in real time. This solution is now possible thanks to the Radio Technical Commission for Maritime (RTCM) stream of SSR corrections from, for example, Centre National d’Études Spatiales (CNES), the first analysis center to provide it in the context of the International GNSS Service. Then, ionospheric delays are treated as pseudo-observations that have a priori values from the CLK RTCM stream. Additionally, satellite orbit and clock errors are properly considered using space-state representation (SSR) real-time radial, along-track, and cross-track corrections. The following paper presents the initial results of such RTK positioning. Measurements were performed in various field conditions reflecting realistic scenarios that could have been experienced by actual RTK users. We have shown that the assumed methodology was suitable for single-epoch RTK positioning with up to 82 km baseline in solar minimum (30 March 2019) mid and high latitude (Olsztyn, Poland) conditions. We also confirmed that it is possible to obtain a rover position at the level of a few centimeters of precision. Finally, the possibility of using other newer experimental IGS RT Global Ionospheric Maps (GIMs), from Chinese Academy of Sciences (CAS) and Universitat Politècnica de Catalunya (UPC) among CNES, is discussed in terms of their recent performance in the ionospheric delay domain.
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8

Kim, Euiho, and Sae-kyeol Kim. "Global Navigation Satellite System Real-Time Kinematic Positioning Framework for Precise Operation of a Swarm of Moving Vehicles." Sensors 22, no. 20 (2022): 7939. http://dx.doi.org/10.3390/s22207939.

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The global navigation satellite system (GNSS) real-time kinematic (RTK) technique is used to achieve relative positioning centimeter levels among multiple agents on the move. A typical GNSS RTK estimates the relative positions of multiple rover receivers with respect to a single-base receiver. In a fleet of rover GNSS receivers, this approach is inefficient because each rover receiver only uses GNSS measurements of its own and those sent from a single-base receiver. In this study, we propose a novel GNSS RTK framework that facilitates the precise positioning of a swarm of moving vehicles through the GNSS measurements of multiple receivers and broadcasts fixed-integer ambiguities of GNSS carrier phases. The proposed framework not only provides efficient RTK positioning but also reliable performance with a limited number of GNSS satellites in view. Our experimental flight tests with six GNSS receivers showed that the systematic procedure of the proposed framework could maintain lower than 6 cm of 3D RMS positioning errors, whereas the conventional RTK failed to resolve the correct integer ambiguities of double difference carrier phase measurements more than 13% in five out of nine total baselines.
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9

Abdullah, Mardina, Norbahiah Misran, and Nor Nadira Mohammad Ariff. "Multipath Error Determinant for Pseudo Ranges Observation Data at RTK (Real Time Kinematic) Reference Stations in Malaysia." Jurnal Kejuruteraan 22, no. 1 (2010): 31–42. http://dx.doi.org/10.17576/jkukm-2010-22-04.

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10

Zeng, Shulin, Cuilin Kuang, and Wenkun Yu. "Evaluation of Real-Time Kinematic Positioning and Deformation Monitoring Using Xiaomi Mi 8 Smartphone." Applied Sciences 12, no. 1 (2022): 435. http://dx.doi.org/10.3390/app12010435.

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Modern low-cost electronic devices can achieve high precision for global navigation satellite systems (GNSSs) and related applications. Recently, the pseudo-range and carrier phase have been directly obtained from a smartphone to establish a professional-level surveying device. Although promising results have been obtained by linking to an external GNSS antenna, the real-time kinematic (RTK) positioning performance requires further improvement when using the embedded smartphone antenna. We first investigate the observation quality characteristics of the Xiaomi Mi 8 smartphone. The carrier-to-noise-density ratio of L5/E5a signals is below that of L1/E1 signals, and the cycle slip and loss of lock are severe, especially for L5/E5a signals. Therefore, we use an improved stochastic model and ambiguity-resolution strategies to improve the short-baseline RTK positioning accuracy. Experimental results show that the ambiguity fixing rate can reach approximately 90% in 3 h of observations when using the embedded antenna, while the GPS/Galileo/BDS single-frequency combination is more suitable for smartphones. On the other hand, convergence takes 10–30 min, and the RTK positioning accuracy can reach 1 and 2 cm along the horizontal and vertical directions, respectively, if ambiguity is resolved correctly. Moreover, we verify the feasibility of using a mass-produced smartphone for deformation monitoring. Results from a simulated dynamic deformation experiment indicate that a smartphone can recognise deformations as small as 2 cm.
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