Journal articles on the topic 'Network RTK'

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1

İNAL, Cevat, Ahmet Mete GÜNDÜZ, and Sercan BÜLBÜL. "Comparison of Classic RTK and Network-RTK Methods." Selcuk University Journal of Engineering ,Science and Technology 2, no. 2 (January 1, 2014): 21. http://dx.doi.org/10.15317/scitech.201426890.

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2

Zhang, Baocheng, Peter J. G. Teunissen, and Dennis Odijk. "A Novel Un-differenced PPP-RTK Concept." Journal of Navigation 64, S1 (October 14, 2011): S180—S191. http://dx.doi.org/10.1017/s0373463311000361.

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In this contribution, a novel un-differenced (UD) (PPP-RTK) concept, i.e. a synthesis of Precise Point Positioning and Network-based Real-Time Kinematic concept, is introduced. In the first step of our PPP-RTK approach, the UD GNSS observations from a regional reference network are processed based upon re-parameterised observation equations, corrections for satellite clocks, phase biases and (interpolated) atmospheric delays are calculated and provided to users. In the second step, these network-based corrections are used at the user site to restore the integer nature of his UD phase ambiguities, which makes rapid and high accuracy user positioning possible. The proposed PPP-RTK approach was tested using two GPS CORS networks with inter-station distances ranging from 60 to 100 km. The first test network is the northern China CORS network and the second is the Australian Perth CORS network. In the test of the first network, a dual-frequency PPP-RTK user receiver was used, while in the test of the second network, a low-cost, single-frequency PPP-RTK user receiver was used. The performance of fast ambiguity resolution and the high accuracy positioning of the PPP-RTK results are demonstrated.
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3

Aykut, Nedim Onur, Engin Gülal, and Burak Akpinar. "Performance of Single Base RTK GNSS Method versus Network RTK." Earth Sciences Research Journal 19, no. 2 (December 17, 2015): 135–39. http://dx.doi.org/10.15446/esrj.v19n2.51218.

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<p>After the late 1990s, GNSS/GPS network RTK technology has become the preferred technique in the world, today widely used in various applications such as monitoring, early warning systems, and mapping and engineering applications. By the end of 2008, the CORS-TR network was being used for engineering applications to determine 3D positions across the whole of Turkey. On the other hand, single base RTK stations are being operated in Turkey. The YLDZ is one of these types of stations. It was established at the Yıldız Technical University by the Department of Geomatic Engineering in 2012. In this paper, the performance of the YLDZ station is examined by use of measurements in 5 Istanbul GPS Triangulation Network (IGNA) benchmark points, with five repeatability measurements up to 50 km from the station. The CORS-TR network RTK solution is used at the same points, and the results are compared. The measured coordinates produced by the two RTK solutions are compared with the IGNA point coordinates. Satellite geometry, initialisation time and the standard deviation of repeatability are also determined. The differences between measured and known coordinates are calculated as 1-2 cm horizontally and close to 3 cm vertically using the YLDZ single base RTK method.</p><p> </p><p><strong>Desempeño de un Método de Navegación Cinética Satelital en Tiempo Real (RTK) de una Sola Base en Comparación de un Sistema RTK</strong></p><p> </p><p><strong>Resumen</strong></p><p>Después de la década de los 90, el Sistema Global de Navegación por satélite/Sistema de Posicionamiento Global (GNSS/GPS, en inglés), basado en tecnología de Navegación Cinética Satelital en Tiempo Real (RTK, del inglés Real Time Kinematic) se convirtió en la técnica preferida en el mundo y que todavía se utiliza en varias aplicaciones como el monitoreo, sistemas de alerta temprana y mapeo e ingeniería de aplicativos. Para finales de 2008, los aplicativos de ingeniería utilizan la red de Estaciones de Referencia de Funcionamiento Continuo (CORS-TR, un proyecto establecido en Turquía) para determinar posiciones en tres dimensiones a lo largo del territorio turco. Por otro lado, las estaciones RTK de una sola base han funcionado en Turquía. La YLDZ es una estación de este tipo que fue establecida en la Universidad Técnica de Yildiz por el departamento de Ingeniería Geomática en 2012. En este trabajo se examina el desempeño dela estación YLDZ a través de la medición de cinco puntos de referencia del Sistema de Triangulación GPS de Estambul (IGNA, en inglés) con cinco mediciones repetitivas a más de 50 km de la estación. Similares medidas RTK se hicieron con la red CORS-TR y se compararon los resultados. Las dos mediciones producidas por las soluciones RTK se compararon con los puntos de coordenadas IGNA. También se determinó la geometría satelital, el tiempo de inicialización y la desviación estándar de la repetibilidad. Las diferencias entre las coordenadas medidas y las coordenadas conocidas se calcularon en un rango de 1-2 centímetros horizontalmente y cerca de 3 centímetros verticalmente para la estación YLDZ con el método RTK.</p>
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4

İNAL, Cevat, Sercan BÜLBÜL, and Ömer YILDIRIM. "Repeatable of Network RTK Measurement." Afyon Kocatepe University Journal of Sciences and Engineering 14, no. 2 (June 10, 2014): 1–7. http://dx.doi.org/10.5578/fmbd.8548.

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5

Zou, Xuan, Maorong Ge, Weiming Tang, Chuang Shi, and Jingnan Liu. "URTK: undifferenced network RTK positioning." GPS Solutions 17, no. 3 (August 15, 2012): 283–93. http://dx.doi.org/10.1007/s10291-012-0277-5.

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6

Koivula, Hannu, Jaakko Kuokkanen, Simo Marila, Sonja Lahtinen, and Tuukka Mattila. "Assessment of sparse GNSS network for network RTK." Journal of Geodetic Science 8, no. 1 (December 1, 2018): 136–44. http://dx.doi.org/10.1515/jogs-2018-0014.

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Abstract We tested the accuracy and usability of a sparse GNSS reference station network for network RTK (NRTK) using the Finnish permanent GNSS network FinnRef. We modified the configuration of the FinnRef network stations used in NRTK computation. This allowed us to perform the test both inside and outside of the network area using different NRTK methods and two different RTK receivers. In the test area the average distance between the FinnRef stationswas 160 km. As a comparison,we tested also with the commercial Trimnet and HxGN SmartNet positioning services operated by Geotrim Oy and Leica Geosystems Finland, respectively. Tests showed that the horizontal and vertical rms of Trimnet servicewas 16mmand 40 mm, and of HxGN SmartNet service 23mmand 48 mm. The best rms for the sparse NLS (National Land Survey of Finland) Service was 22 mm and 56 mm. These results indicate that a good NRTK solution can be achieved with a sparser network than typically used. This study also indicates, that the methods for NRTK processing can also affect the quality of the solution.
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7

Park, Byungwoon, and Changdon Kee. "The Compact Network RTK Method: An Effective Solution to Reduce GNSS Temporal and Spatial Decorrelation Error." Journal of Navigation 63, no. 2 (February 23, 2010): 343–62. http://dx.doi.org/10.1017/s0373463309990440.

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This paper proposes a method that combines compact real-time kinematic (RTK) and reference station (RS) networking techniques, and shows that this approach can reduce both the temporal and spatial decorrelation error. The compact RTK method compatibility with all the conventional network RTK systems, i.e., Master-Auxiliary Concept (MAC), Virtual Reference Stations (VRS), and Flächen-Korrektur Parameter (FKP), is examined theoretically in this paper. To prove that the compact RTK approach is not only valid, but also helpful to the network RTK system, a field test was held using one hour of Receiver Independent Exchange Format (RINEX) data logged every second from Continuously Operating Reference Stations (CORS). No matter which network RTK method is applied, the Compact Network RTK approach resolves the ambiguity of the carrier phase in 10–40 s and determines position with 6–7 cm horizontal and 7–8 cm vertical error (95%) in a 100 by 100 km region. Moreover, the Compact Network RTK approach enables network RTK service providers to reduce the data-link bandwidth for correction messages to 5–700 bps (bit/s) down from several thousand bps, currently 9600 bps of GPRS/GSM, without a severe degradation of accuracy.
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8

Cranenbroek, J. van, R. Keenan, and V. Lui. "Making Profitable GNSS RTK Network Infrastructure." Journal of Global Positioning Systems 5, no. 1&2 (December 31, 2006): 58–61. http://dx.doi.org/10.5081/jgps.5.1.58.

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9

Xing-wei, Gao, and Liu Jing-nan. "Novel algorithms for GPS network RTK." Wuhan University Journal of Natural Sciences 8, no. 2 (June 2003): 596–602. http://dx.doi.org/10.1007/bf02899824.

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10

Odolinski, Robert. "Temporal correlation for network RTK positioning." GPS Solutions 16, no. 2 (March 1, 2011): 147–55. http://dx.doi.org/10.1007/s10291-011-0213-0.

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11

Bisnath, S., A. Saeidi, J. G. Wang, and G. Seepersad. "Evaluation of Network RTK Performance and Elements of Certification—A Southern Ontario Case Study." GEOMATICA 67, no. 4 (December 2013): 243–51. http://dx.doi.org/10.5623/cig2013-050.

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Over the past decade, network RTK technology has become popular as an efficient method of precise, real-time positioning. Its relatively low-cost and single receiver ease-of-use has allowed it to mostly replace static relative GPS and single baseline RTK in urban areas where such networks are economically viable (e.g., cadastral and construction survey). The Ministry of Transportation of Ontario (MTO) and York University have investigated the performance of commercial network RTK services in Southern Ontario, where performance is defined by a set of developed metrics. It was found that the user horizontal solution had an overall precision of ∼2.5 cm (95%), though there were cases of solution biases, drifts and gaps. A follow-up study is developing criteria and pathways for the certification of such commercial network RTK services, focusing on: reference station integration, reference station maintenance, and user solution monitoring. A set of recommendations for network certification is in preparation.
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12

Woon, Bong-Young, Dong-Jin Lee, and Sang-sun Lee. "Network-RTK GNSS for Land Vehicle Navigation Application." Journal of Korean Institute of Communications and Information Sciences 42, no. 2 (February 28, 2017): 424–31. http://dx.doi.org/10.7840/kics.2017.42.2.424.

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13

Shin, Mi Young, Deuk Jae Cho, Yun-Ja Yoo, Cheol-Ye Hong, and Sang-Hyun Park. "Anomaly Detection Technique of Satellite on Network RTK." Journal of Navigation and Port Research 37, no. 1 (February 28, 2013): 41–48. http://dx.doi.org/10.5394/kinpr.2013.37.1.41.

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14

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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15

Dobelis, Didzis, and Jānis Zvirgzds. "NETWORK RTK PERFORMANCE ANALYSIS: A CASE STUDY IN LATVIA." Geodesy and cartography 42, no. 3 (September 22, 2016): 69–74. http://dx.doi.org/10.3846/20296991.2016.1226383.

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Nowadays the RTK (Real Time Kinematic) method for positioning is used in daily life by different consumers for many purposes. Several different RTK correction techniques are used, starting from single site to network approaches. The GNSS market is filled with receivers from different manufacturers and different capabilities. In this paper we assess the stability of the reference station network transmitted RTK correction. Two different surveying class GNSS receivers in combination with four varied RTK correction techniques under diverse observation conditions are analyzed. This study has been conducted in Latvia, where state wide permanent GNSS reference station network has been maintained since year 2005.
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16

Trinh, Vu Dinh, and Chon Trung Le. "The experimental results of the RTK GPS measurement using 3G mobile network and internet." Science and Technology Development Journal 18, no. 1 (March 31, 2015): 48–57. http://dx.doi.org/10.32508/stdj.v18i1.941.

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This paper presents the experimental results of the RTK GPS established by the authors with different distance measurements. With a 5km baseline, the RMS of RTK solution is 2.8 cm and ratio of fix solution is approximately 90%. With these results, this RTK GPS system meets the requirements of large scale topographic and cadastral mapping, hydrographics surveying, especially the work of layout works and high accuracy RTK for ITS (Intelligent Transportation Systems). The equipment used in this RTK system available on the market, the system easy to replace, compact, low cost, capable of measuring continuous RTK in one day and especially allows using of many rover receiver simultaneously .
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17

Baybura, Tamer, İbrahim Tiryakioğlu, Mehmet Ali Uğur, Halil İbrahim Solak, and Şeyma Şafak. "Examining the Accuracy of Network RTK and Long Base RTK Methods with Repetitive Measurements." Journal of Sensors 2019 (November 18, 2019): 1–12. http://dx.doi.org/10.1155/2019/3572605.

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Real-time kinematic (RTK) technique is important for mapping applications requiring short measure time, the distance between rover and base station, and high accuracy. There are several RTK methods used today such as the traditional RTK, long base RTK (LBRTK), network RTK (NRTK), and precise point positioning RTK (PPP-RTK). NRTK and LBRTK are popular with the advantage of the distance, the time, and accuracy. In the present study, the NRTK and LBRTK measurements were compared in terms of accuracy and distance in a test network with 6 sites that was established between 5 and 60 km. Repetitive NRTK and LBRTK measurements were performed on 6 different days in 2015-2017-2018 and additionally 4 campaigns of repetitive static measurements were carried out in this test network. The results of NRTK and LBRTK methods were examined and compared with all relevant aspects by considering the results of the static measurements as real coordinates. The study results showed that the LBRTK and NRTK methods yielded similar results at base lengths up to 40 km with the differences less than 3 cm horizontally and 4 cm vertically.
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18

Berber, M., and N. Arslan. "Atmospheric Effects on RTK Network in Florida." Boletim de Ciências Geodésicas 21, no. 4 (December 2015): 814–31. http://dx.doi.org/10.1590/s1982-21702015000300048.

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Commonly used real time kinematic (RTK) network (RTK Network) techniques, i.e., MAX, I-MAX, FKP and VRS, are tested by taking monthly measurements for a year in Florida. Additionally, RTCM message versions 2 and 3 are used with I-MAX and VRS measurements. The results revealed that mostly, horizontal coordinates vary a few centimeters and generally changes in vertical coordinates are less than two decimeters. In terms of horizontal coordinates, the best results are produced by I-MAX3 method and FKP yielded the worst results. In terms of vertical coordinates, almost all results look alike; however, the best results are produced by VRS3 method. It appears that I-MAX3 performed better than I-MAX2 and VRS3 performed better than VRS2. Yet, MAX did not stand out among other techniques.
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19

Berber, Mustafa, and Niyazi Arslan. "Network RTK: A case study in Florida." Measurement 46, no. 8 (October 2013): 2798–806. http://dx.doi.org/10.1016/j.measurement.2013.04.078.

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20

Shin, Mi-Young, Young-Hoon Han, Jae-Young Ko, and Deuk-Jae Cho. "Design of Monitoring System for Network RTK." Journal of Navigation and Port Research 39, no. 6 (December 31, 2015): 479–84. http://dx.doi.org/10.5394/kinpr.2015.39.6.479.

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21

Min-Ho, Kim, and Bae Tae-Suk. "Preliminary Analysis of Network-RTK for Navigation." Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 33, no. 5 (October 31, 2015): 343–51. http://dx.doi.org/10.7848/ksgpc.2015.33.5.343.

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22

Bae, Tae-Suk. "Network-based RTK Performance for Drone Navigation." E3S Web of Conferences 94 (2019): 01006. http://dx.doi.org/10.1051/e3sconf/20199401006.

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The Real-time Kinematic (RTK) was predominantly used for the positioning of the ground applications including moving vehicles. Due to the limited baseline lengths, the Network-based RTK (NRTK) was introduced since late-1990s, and successfully applied to the high precision surveying purposes for more than a decade. We conducted the experiments to analyze the performance of the single-baseline RTK (SRTK) as well as the NRTK using one of the operational NRTK systems of Korea, which is the Virtual Reference Stations (VRS) technique. A total of 46 Continuously Operating Reference Stations (CORS) are used for both SRTK and NRTK to secure the redundancy of the baseline lengths. Since the CORS are quite evenly located at an average of 50-60 km, the analysis of error behavior is restricted in terms of seamless variation of baseline length. Therefore, on top of the existing CORS, we simulated the GNSS RINEX data of the rover (that is, the drone position) at a specific location to get the uniform distribution to the reference stations. Furthermore, the rover was generated for different altitude to evaluate the performance of vertical component of the NRTK system. The CORS GNSS data were obtained at 1 Hz in RINEX format, and the low-cost receiver (ublox) was used for the rover with same interval, single-frequency capability. The correction information from the NRTK server was simultaneously logged for post-processing using the open source software RTKLIB. The percentage of ambiguity resolution was quite reasonable up to 50 km, and drastically drops down as the baseline gets longer. The generated VRS was located with an offset of a few meters in a certain direction, and the horizontal errors also showed a similar pattern. The vertical error behavior due to the tropospheric model deficiency should also be analyzed further.
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23

Qian, Yue Lei. "The Application of Network RTK Technology in Road Construction Survey." Applied Mechanics and Materials 405-408 (September 2013): 3007–10. http://dx.doi.org/10.4028/www.scientific.net/amm.405-408.3007.

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With the rapid development of the global satellite positioning technology, computer technology, networking and communications technology, the network RTK has been becoming increasingly mature, with its application span increasingly enlarged as well. Accordingly, the application of network RTK in the relevant engineering survey are becoming more and more increasingly popular, along with its efficiency, high precision and reliability wining the favor of the majority of surveyors. This article illustrates the principles of network RTK, processes and the application of the measurement in road construction, hoping that could provide relevant theoretical references for technical staff.
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24

Tang, Weiming, Xiaolin Meng, Chuang Shi, and Jingnan Liu. "Algorithms for Sparse Network-based RTK GPS Positioning and Performance Assessment." Journal of Navigation 66, no. 3 (April 8, 2013): 335–48. http://dx.doi.org/10.1017/s0373463313000015.

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The average inter-station distances in most established network Real Time Kinematic (RTK) systems are constrained to around 50 km. A sparse network RTK system with an average inter-station distance of up to 300 km would have many appealing advantages over a conventional one, including a significant reduction in the development and maintenance costs. The first part of this paper introduces the key approaches for sparse network RTK positioning technology. These include long-range reference baseline ambiguity resolution and real-time kinematic ambiguity resolution for the rover receivers. The proposed method for long-range kinematic ambiguity resolution can overcome the network weaknesses through three procedures: application of the interpolated corrections from the sparse network only to wide-lane combination; searching the ambiguities of wide-lane combination; and searching L1 ambiguities with wide-lane combination and ionosphere-free observables. To test these techniques, a network including ten reference stations was created from the Ordnance Survey's Network (OS NetTM) that covers the whole territory of the United Kingdom (UK). The average baseline length of this sparse network is about 300 km. To assess the positioning performance, nine rover stations situated inside and outside the network were also selected from the OS Net™. Finally, the accuracy of interpolated corrections, the positioning accuracy and the initialization time required for precise positioning were estimated and analysed. From the observed performance of each rover receiver, and the accuracy of interpolated network corrections, it can be concluded that it is feasible to use a sparse reference station network with an average inter-station distance up to 300 km for achieving similar performance to traditional network RTK positioning. The proposed approach can provide more cost-efficient use of network RTK (NRTK) positioning for engineering and environmental applications that are currently being delivered by traditional network RTK positioning technology.
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Zhang, Zhiteng, Bofeng Li, and Junping Zou. "Can Long-Range Single-Baseline RTK Provide Service in Shanghai Comparable to Network RTK?" Journal of Surveying Engineering 146, no. 4 (November 2020): 05020007. http://dx.doi.org/10.1061/(asce)su.1943-5428.0000324.

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Han, Seung-Hee, and Hong-Tae Park. "The Utilization Analysis of FKP Network RTK for Site Surveying." Journal of the Korea Academia-Industrial cooperation Society 15, no. 4 (April 30, 2014): 2443–49. http://dx.doi.org/10.5762/kais.2014.15.4.2443.

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27

He, Hong, Hai Ping Fang, Hang Li, Da Jian Zhang, and Ming Feng Hou. "Error Analysis Based on Multi-Base Station Network VRS Technology." Advanced Materials Research 186 (January 2011): 358–62. http://dx.doi.org/10.4028/www.scientific.net/amr.186.358.

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The existing problems of conventional RTK in actual applications specifically show that the difference technology can only eliminate the public error between base station and subscriber station under certain conditions, with the increases of baseline length (more than 20 km), the correlation of errors between tropospheric and ionospheric weakened or even disappeared, making differential GPS technology lose its theoretical foundation, the experimental analysis shows that in network RTK, the Virtual Reference Station RTK technology enables VRS technology the effective distance from the 15 km extended to 50 km or more, greatly enhance the relative positioning accuracy in medium- baseline and long-baseline (20~50km).
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28

Rizos, C. "Network RTK Research and Implementation: A Geodetic Perspective." Journal of Global Positioning Systems 1, no. 2 (December 31, 2002): 144–50. http://dx.doi.org/10.5081/jgps.1.2.144.

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29

Ogutcu, Sermet. "Temporal correlation length of network based rtk techniques." Measurement 134 (February 2019): 539–47. http://dx.doi.org/10.1016/j.measurement.2018.10.099.

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30

Weng, Duojie, Shengyue Ji, Yangwei Lu, Wu Chen, and Zhihua Li. "Improving DGNSS Performance through the Use of Network RTK Corrections." Remote Sensing 13, no. 9 (April 21, 2021): 1621. http://dx.doi.org/10.3390/rs13091621.

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The differential global navigation satellite system (DGNSS) is an enhancement system that is widely used to improve the accuracy of single-frequency receivers. However, distance-dependent errors are not considered in conventional DGNSS, and DGNSS accuracy decreases when baseline length increases. In network real-time kinematic (RTK) positioning, distance-dependent errors are accurately modelled to enable ambiguity resolution on the user side, and standard Radio Technical Commission for Maritime Services (RTCM) formats have also been developed to describe the spatial characteristics of distance-dependent errors. However, the network RTK service was mainly developed for carrier-phase measurements on professional user receivers. The purpose of this study was to modify the local-area DGNSS through the use of network RTK corrections. Distance-dependent errors can be reduced, and accuracy for a longer baseline length can be improved. The results in the low-latitude areas showed that the accuracy of the modified DGNSS could be improved by more than 50% for a 17.9 km baseline during solar active years. The method in this paper extends the use of available network RTK corrections with high accuracy to normal local-area DGNSS applications.
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Park, Chun Soo, Ki Heon Park, and Sung Eon Hong. "Accuracy Analysis of Network RTK Surveying for Cadastral Re-survey Project." Journal of Korean Society for Geospatial Information System 21, no. 4 (December 31, 2013): 117–23. http://dx.doi.org/10.7319/kogsis.2013.21.4.117.

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32

Gumilar, Irwan, Brian Bramanto, Fuad F. Rahman, and I. Made D. A. Hermawan. "Variability and Performance of Short to Long-Range Single Baseline RTK GNSS Positioning in Indonesia." E3S Web of Conferences 94 (2019): 01012. http://dx.doi.org/10.1051/e3sconf/20199401012.

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As the modernized Global Navigation Satellite System (GNSS) method, Real Time Kinematic (RTK) ensures high accuracy of position (within several centimeters). This method uses Ultra High Frequency (UHF) radio to transmit the correction data, however, due to gain and power issues, Networked Transport of RTCM via Internet Protocol (RTCM) is used to transmit the correction data for a longer baseline. This Research aims to investigate the performance of short to long-range single baseline RTK GNSS (Up to 80 KM) by applying modified LAMBDA method to resolve the ambiguity in carrier phase. The RTK solution then compared with the differential GNSS network solution. The results indicate that the differences are within RTK accuracy up to 80 km are several centimeter for horizontal solution and three times higher for vertical solution.
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33

Raška, Martin, and Jiří Pospíšil. "Minimal Detectable Displacement Achievable by GPS-RTK in CZEPOS Network." Geoinformatics FCE CTU 14, no. 1 (June 27, 2015): 29–38. http://dx.doi.org/10.14311/gi.14.1.2.

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In this paper we have made a brief study of RTK precision to estimate possibilities of network RTK using CZEPOS for purposes of geotechnic monitoring of landslides in real time. In this paper we describe a testing methodology, which resulted in estimation of point-position precision and describing minimal detectable positional change. Based on our results it is concluded that displacements could be detected with centimetre accuracy even with short-period observations.
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34

Cano-Jódar, Enrique, Manuel Sánchez-de-la-Orden, and Javier Mesas-Carrascosa. "Active geodetic network: application in topography." DYNA 85, no. 206 (July 1, 2018): 114–20. http://dx.doi.org/10.15446/dyna.v85n206.66427.

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El objetivo de este trabajo es determinar la calidad posicional de las soluciones ofrecidas por la Red de Andaluza de Posicionamiento (RAP). Red geodésica activa situada en la Comunidad Autónoma de Andalucía, en el sur de España. Se realizaron diferentes pruebas a los servicios ofrecidos por esta red activa, especialmente los que utilizan técnicas de posicionamiento en tiempo real (RTK). Se analizaron diferentes parámetros: precisión, exactitud y tiempo de resolución de ambigüedades. Posteriormente, se analizó el sistema desde el punto de vista del levantamiento topográfico, realizándose varios levantamientos de pequeña extensión, utilizados para proyectos de minería e ingeniería civil, con el objetivo de comprobar si una red geodésica activa puede utilizarse con un rendimiento similar a las obtenidos utilizando RTK convencional.
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35

Chiuman, Novie, Dedi Atunggal, and Nurrohmat Widjajanti. "Analisis Tingkat Ketersediaan dan Cakupan dari Continuously Operating Reference Station (CORS) di Pulau Jawa." JGISE: Journal of Geospatial Information Science and Engineering 4, no. 1 (June 30, 2021): 30. http://dx.doi.org/10.22146/jgise.63277.

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Ketersediaan layanan dan cakupan Continuously Operating Reference Station (CORS) sangat penting untuk kegiatan yang membutuhkan ketelitian level sentimeter atau lebih baik. Penelitian ini menganalisis ketersediaan layanan CORS Indonesia berdasar data web scraping server InaCORS pada Desember 2018. Cakupan CORS diestimasi dengan asumsi performansi Real Time Kinematic (RTK) single base hingga radius 30 kilometer dan untuk RTK network base hingga 50 kilometer dari masing-masing stasiun yang kemudian dipadukan dengan data cakupan jaringan komunikasi selular Telkomsel, Indosat dan 3 dari opensignal.com. Hasil web scraping menunjukkan terdapat 51 stasiun CORS dengan ketersediaan layanan di atas 80%, empat dengan ketersediaan layanan di bawah 80%, dua dengan ketersediaan layanan di bawah 50%, dan 14 yang tidak memiliki ketersediaan layanan. Cakupan CORS untuk metode RTK single base dan network base masing-masing adalah 72,942% dan 98,299%. Luas cakupan CORS terbesar diperoleh provider Telkomsel baik untuk metode RTK single base maupun network base yaitu masing-masing sebesar 34,622% dan 45,180%. Cakupan riil dari estimasi tersebut mungkin lebih besar karena hasil uji lapangan membuktikan bahwa tingkat ketepatan data dari OpenSignal hanya sebesar 69,444% dan masih banyak area tanpa data sinyal. Hasil analisis tingkat duplikasi cakupan CORS menunjukkan bahwa luas duplikasi cakupan CORS untuk metode RTK single base dan network base masing-masing sebesar 37,076% dan 82,382% dari luas total cakupan CORS. Hasil dari penelitian juga menunjukkan setidaknya ada 20 stasiun CORS yang perlu ditingkatkan ketersediaan datanya.
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36

Lee, Yong Chang. "Comparison of Network-RTK Surveying Methods at Unified Control Stations in Incheon Area." Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 32, no. 5 (October 31, 2014): 469–79. http://dx.doi.org/10.7848/ksgpc.2014.32.5.469.

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37

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 (August 31, 2012): 389–96. http://dx.doi.org/10.7848/ksgpc.2012.30.4.389.

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38

Liu, Jian, Hongjiang Zheng, Wei Chen, and Huiheng Liu. "A Distribution Method of High Precise Differential Corrections for a Network Beidou/RTK System Based on Vehicular Networks." Cybernetics and Information Technologies 15, no. 5 (April 1, 2015): 140–50. http://dx.doi.org/10.1515/cait-2015-0024.

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Abstract In recent years urban traffic safety has become a widely concerned issue due to the increasing traffic accidents caused by the growth of private car ownership. A very promising method is to provide high precision navigation service to prevent accidents. Therefore, a Network BDS/RTK System Based on Vehicular Networks (NBRSBVNs) is proposed for high precision positioning in an urban complex traffic environment in this paper. This system considers comprehensively the characteristics of the vehicular network and network RTK techniques, and also provides a new distribution method of high precision differential correction information. According to the massive field tests, this system scheme can support real-time and online high precision navigation service of multiple users at the same time. It has important practical significance in applications for vehicles active safety in a complex urban environment.
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39

Wang, Xiaoqing, Xiangyu Wu, Tianyou Li, Mingyu Cui, Lichao Zhu, Gang Wang, and Feng Guo. "Identification of Biomarkers to Construct a Competing Endogenous RNA Network and Establishment of a Genomic-Clinicopathologic Nomogram to Predict Survival for Children with Rhabdoid Tumors of the Kidney." BioMed Research International 2020 (August 27, 2020): 1–27. http://dx.doi.org/10.1155/2020/5843874.

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Rhabdoid tumor of the kidney (RTK) is a rare and severely malignant tumor occurring in infancy and early childhood, with the overall outcomes remain poor. Neither gene regulatory networks nor biomarkers to predict the prognostic outcomes have been elucidated in RTK. In this study, RNA sequencing data were obtained to identify differentially expressed messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), and microRNAs (miRNAs) between RTK samples and normal samples. A total of 4217 mRNAs, 284 lncRNAs, and 286 miRNAs were screened out. Of those, 103 mRNAs, 80 lncRNAs, and 45 miRNAs were identified for a competing endogenous RNA (ceRNA) regulatory network, in which three significant modules were identified. A protein-protein interaction (PPI) network was constructed, and the hub-gene cluster consisted of four core genes (EXOSC2, PAK1IP1, WDR43, and POLR1D) was selected. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were also performed to analyze the functional characteristics of differentially expressed mRNAs. Subsequently, among 211 mRNAs, 8 lncRNAs, and 12 miRNAs associated with overall survival (OS) obtained by univariate Cox analysis, 5 mRNAs, 7 lncRNAs, and 7 miRNAs were identified and the risk score formulas were constructed correspondingly using the least absolute shrinkage and selection operator (LASSO) Cox regression model analysis. The log-rank tests and Kaplan-Meier analyses were performed to confirm the predictive value of the risk scores for OS in RTK patients. A genomic-clinicopathologic nomogram integrating the stage and risk scores based on RNAs was established and demonstrated high predictive accuracy and clinical value, which was validated through calibration curves, time-dependent receiver operating characteristic (ROC) curve analyses, and decision curve analysis (DCA). In conclusion, this study not only provided potential insights into the mechanisms underlying RTK, but also presented a practicable tool for predicting the prognosis in children with RTK.
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40

Han, Younghoon, Jaeyoung Ko, Mi-Young Shin, and Deuk-Jae Cho. "Effect of Tropospheric Delay Irregularity in Network RTK Environment." Journal of the Korea Institute of Information and Communication Engineering 19, no. 11 (November 30, 2015): 2569–75. http://dx.doi.org/10.6109/jkiice.2015.19.11.2569.

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41

Rizos, C., and S. Han. "Reference station network based RTK systems-concepts and progress." Wuhan University Journal of Natural Sciences 8, no. 2 (June 2003): 566–74. http://dx.doi.org/10.1007/bf02899820.

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42

Li, Yi-Shan, and Fang-Shii Ning. "Research into GNSS levelling using network RTK in Taiwan." Survey Review 51, no. 364 (June 21, 2017): 17–25. http://dx.doi.org/10.1080/00396265.2017.1340130.

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43

Bakuła, Mieczysław. "Constrained and network multi-receiver single-epoch RTK positioning." Survey Review 52, no. 373 (November 28, 2018): 289–98. http://dx.doi.org/10.1080/00396265.2018.1547532.

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44

Tang, Maolin. "QoS-Aware Reference Station Placement for Regional Network RTK." Journal of Software Engineering and Applications 02, no. 01 (2009): 44–49. http://dx.doi.org/10.4236/jsea.2009.21007.

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45

Choura, Mouna, and Ahmed Rebaï. "Structural analysis of hubs in human NR-RTK network." Biology Direct 6, no. 1 (2011): 49. http://dx.doi.org/10.1186/1745-6150-6-49.

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46

Ha, Jihyun, Hyun-ho Kim, and Wan-seok Jung. "Analysis of Positioning Accuracy Using LX GNSS Network RTK." Journal of Advanced Navigation Technology 19, no. 6 (December 30, 2015): 507–14. http://dx.doi.org/10.12673/jant.2015.19.6.507.

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47

Fortes, L. P., M. E. Cannon, G. Lachapelle, and S. Skone. "Optimizing a network-based RTK method for OTF positioning." GPS Solutions 7, no. 2 (August 1, 2003): 61–73. http://dx.doi.org/10.1007/s10291-003-0054-6.

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48

Shi, Tiezhu, Linli Yao, Ying Han, Piliang Hao, and Pengfei Lu. "Quantitative Phosphoproteomics Reveals System-Wide Phosphorylation Network Altered by Spry in Mouse Mammary Stromal Fibroblasts." International Journal of Molecular Sciences 20, no. 21 (October 30, 2019): 5400. http://dx.doi.org/10.3390/ijms20215400.

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Understanding the fundamental role of the stroma in normal development and cancer progression has been an emerging focus in recent years. The receptor tyrosine kinase (RTK) signaling pathway has been reported playing critical roles in regulating the normal and cancer microenvironment, but the underlying mechanism is still not very clear. By applying the quantitative phosphoproteomic analysis of Sprouty proteins (SPRYs), generic modulators of RTK signaling and deleted mouse mammary fibroblasts, we quantified a total of 11,215 unique phosphorylation sites. By contrast, 554 phosphorylation sites on 425 proteins had SPRY-responsive perturbations. Of these, 554 phosphosites, 362 sites on 277 proteins, were significantly increased, whereas 192 sites on 167 proteins were decreased. Among the regulated proteins, we identified 31 kinases, 7 phosphatases, and one phosphatase inhibitor that were not systematically characterized before. Furthermore, we reconstructed a phosphorylation network centered on RTK signaling regulated by SPRY. Collectively, this study uncovered a system-wide phosphorylation network regulated by SPRY, providing an additional insight into the complicated RTK signaling pathways involved in the mammary gland microenvironment.
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49

Lee, Suk Bae, and Su Chang Auh. "Determination of the Optimal Height using the Simplex Algorithm in Network-RTK Surveying." Journal of Korean Society for Geospatial Information System 24, no. 1 (March 31, 2016): 35–41. http://dx.doi.org/10.7319/kogsis.2016.24.1.035.

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50

Gao, Cheng Fa, and Xue Feng Shen. "Algorithm for VRS Based on Star Structure." Applied Mechanics and Materials 90-93 (September 2011): 2828–31. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.2828.

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In view of the deficiency of algorithm for VRS (Virtual Reference Station) based on the triangular network, a novel algorithm for VRS which is based on star network is proposed. Firstly, a kind of baseline solution method of network RTK/VRS based on star structure is established and an ambiguity resolution method is also proposed in this paper. Then further research is done to analyze the algorithm of ionospheric and tropospheric correction separately. Finally, the network ambiguity resolution and correction calculation in both star structure network and traditional triangular network are verified and analyzed through two tests. These tests indicate that the Network RTK (VRS) based on star structure this paper proposed can obviously accelerate the fixed time of network ambiguity resolution, which can be up to 50%, and can achieve higher precision and reliability in the generation of network correction.
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