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Journal articles on the topic 'Mobile positioning systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Ramtohul, Arvind, and Kavi Kumar Khedo. "Mobile Positioning Techniques and Systems: A Comprehensive Review." Mobile Information Systems 2020 (September 16, 2020): 1–18. http://dx.doi.org/10.1155/2020/3708521.

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The recent developments in mobile positioning technologies and the increasing demands of ubiquitous computing have significantly contributed to sophisticated positioning applications and services. Position information represents a core element in the human-centred activities, assisting in visualising complex environments effectively and providing a representational coordinate for localisation, tracking, and navigation purposes. The emergence of smartphones has accelerated the development of cutting-edge positioning-based systems since they are contained to have more processing, memory, and bat

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2

Chen, Liang, Olivier Julien, Elena-Simona Lohan, Gonzalo Seco-Granados, and Ruizhi Chen. "Mobile Geospatial Computing Systems for Ubiquitous Positioning." Mobile Information Systems 2018 (June 20, 2018): 1–2. http://dx.doi.org/10.1155/2018/9138095.

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Zhang, Xiaoxiang, Peiquan Jin, Lihua Yue, Na Wang, and Qianyuan Li. "Towards Mobile Information Systems for Indoor Space." Mobile Information Systems 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/9673048.

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With the rapid development of Internet of things (IOT) and indoor positioning technologies such as Wi-Fi and RFID, indoor mobile information systems have become a new research hotspot. Based on the unique features of indoor space and urgent needs on indoor mobile applications, in this paper we analyze some key issues in indoor mobile information systems, including positioning technologies in indoor environments, representation models for indoor spaces, query processing techniques for indoor moving objects, and index structures for indoor mobile applications. Then, we present an indoor mobile i

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4

Xu, Yan Wen, and Feng Dong. "3G Network Mobile Vehicle Tracking and Positioning Systems Research." Applied Mechanics and Materials 744-746 (March 2015): 1967–70. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.1967.

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To strengthen and improve the movement of cars in real-time location tracking to monitor in order to improve operational efficiency and ensure traffic safety of the vehicle is particularly urgent, global system for mobile communication system GSM (Global System of Mobile communication) has been developed to the 3G era and geographic information systems GIS (Geographic Information System) of rapid development, so that based on GPS / GSM tracking feasibility sports car positioning monitoring system design is growing. In this paper, GPS / GSM mobile vehicle as the monitoring terminal hardware pla

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5

Yilin Zhao. "Standardization of mobile phone positioning for 3G systems." IEEE Communications Magazine 40, no. 7 (2002): 108–16. http://dx.doi.org/10.1109/mcom.2002.1018015.

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6

Sazid Zaman, Khan, Silvadorai Thilek, Chen-Wei Tan, Ramadass Sureswaran, and Anwar Toni. "Context aware handover algorithms for mobile positioning systems." Computer Science 15, no. 2 (2014): 133. http://dx.doi.org/10.7494/csci.2014.15.2.133.

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7

Momot, M. V., A. V. Proskokov, D. N. Nesteruk, M. Ganiyev, and A. S. Biktimirov. "Systems of Geo Positioning of the Mobile Robot." IOP Conference Series: Materials Science and Engineering 221 (July 21, 2017): 012022. http://dx.doi.org/10.1088/1757-899x/221/1/012022.

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8

Borenstein, J., H. R. Everett, L. Feng, and D. Wehe. "Mobile robot positioning: Sensors and techniques." Journal of Robotic Systems 14, no. 4 (1997): 231–49. http://dx.doi.org/10.1002/(sici)1097-4563(199704)14:4<231::aid-rob2>3.0.co;2-r.

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9

Simić, Mirjana I., and Predrag V. Pejović. "Deterministic approach for mobile user positioning in radio systems." Tehnika 69, no. 5 (2014): 810–17. http://dx.doi.org/10.5937/tehnika1405810s.

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10

Pidikiti, Vidya Nanda Hruday. "Tracking And Positioning Of Mobile Systems In Telecommunication Networks." International Journal of Technology 6, no. 1 (2016): 17. http://dx.doi.org/10.5958/2231-3915.2016.00005.5.

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11

Gao, Honghao, Shuoping Wang, and Hongquan Lu. "Local Positioning Systems for Mobile Devices based on Ontology." Information Technology Journal 10, no. 1 (2010): 168–74. http://dx.doi.org/10.3923/itj.2011.168.174.

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12

Shanurov, G. A., and A. D. Manilova. "Mobile scanning complex positioning accuracy depending on the coordinate systems used." Geodesy and Cartography 919, no. 1 (2017): 13–17. http://dx.doi.org/10.22389/0016-7126-2017-919-1-13-17.

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Inertial coordinate system and geodetic (terrestrial) coordinate system are used in processing of results of topographic survey, carried out with a mobile scanning complex. Mobile scanning complex geodetic coordinates, in turn, are presented in geodetic three-dimensional rectangular coordinate system form, in geodetic ellipsoidal coordinate system form and in the form of coordinates on a geodetic projection plane. The results of research, carried out earlier [4–7], suggest that the coordinate transformation on large areas distorts geodetic points coordinates. The article presents the results o

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13

Amsters, Robin, Eric Demeester, Nobby Stevens, and Peter Slaets. "Calibration of Visible Light Positioning Systems with a Mobile Robot." Sensors 21, no. 7 (2021): 2394. http://dx.doi.org/10.3390/s21072394.

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Most indoor positioning systems require calibration before use. Fingerprinting requires the construction of a signal strength map, while ranging systems need the coordinates of the beacons. Calibration approaches exist for positioning systems that use Wi-Fi, radio frequency identification or ultrawideband. However, few examples are available for the calibration of visible light positioning systems. Most works focused on obtaining the channel model parameters or performed a calibration based on known receiver locations. In this paper, we describe an improved procedure that uses a mobile robot f

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14

Inoue, Shinichi, Akihisa Urata, Takumi Kodama, et al. "High-Precision Mobile Robotic Manipulator for Reconfigurable Manufacturing Systems." International Journal of Automation Technology 15, no. 5 (2021): 651–60. http://dx.doi.org/10.20965/ijat.2021.p0651.

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The manufacturing industry has identified a new megatrend of mass customization, which is one of the essential goals of Industry 4.0. This megatrend requires the realization of manufacturing that can respond quickly and flexibly to various changing production requirements and ensure the achievement of various quality criteria. However, the manufacturing cannot be realized by conventional manufacturing systems in which reconfigurations need to be performed by skilled engineers. This paper proposes a new reconfigurable manufacturing system concept based on an ultra-flexible transfer system. Part

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Wang, Haixia, Junliang Li, Wei Cui, et al. "Mobile Robot Indoor Positioning System Based on K-ELM." Journal of Sensors 2019 (February 14, 2019): 1–11. http://dx.doi.org/10.1155/2019/7547648.

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Mobile Robot Indoor Positioning System has wide application in the industry and home automation field. Unfortunately, existing mobile robot indoor positioning methods often suffer from poor positioning accuracy, system instability, and need for extra installation efforts. In this paper, we propose a novel positioning system which applies the centralized positioning method into the mobile robot, in which real-time positioning is achieved via interactions between ARM and computer. We apply the Kernel extreme learning machine (K-ELM) algorithm as our positioning algorithm after comparing four dif

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16

Chen, M. W., and A. M. S. Zalzala. "Optimal Positioning for Mobile Platform/Manipulator Systems using Genetic Algorithms." IFAC Proceedings Volumes 30, no. 3 (1997): 197–202. http://dx.doi.org/10.1016/s1474-6670(17)44490-9.

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17

Grigor’evskii, V. I., M. V. Grigor’evskaya, V. P. Sadovnikov, and Yu O. Yakovlev. "Mobile Transponder Devices in Positioning Systems for Monitoring Earthbound Objects." Measurement Techniques 56, no. 5 (2013): 476–81. http://dx.doi.org/10.1007/s11018-013-0230-1.

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18

Мнушка, Оксана Васильевна. "Positioning and tracking control systems for mobile satellite antenna installations." Eastern-European Journal of Enterprise Technologies 5, no. 9(65) (2013): 39–45. http://dx.doi.org/10.15587/1729-4061.2013.18450.

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19

Kondratyev, Sergey, Vitaliy Kostenko, and Marina Yadrova. "CONTOUR METHOD FOR POSITIONING OBJECTS IN MOBILE COMPUTER VISION SYSTEMS." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 2(8) (June 15, 2021): 62–69. http://dx.doi.org/10.20998/2413-4295.2021.02.09.

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The paper considers the possibility of solving the problem of improving the quality of technical vision using the contour method, which is used to position objects in mobile computer vision systems. The hardware part of the object positioning system includes two video cameras, a Raspberry Pi 3 microcomputer, a depth contour map screen, and a motor control unit. The codes of programs based on the OpenCV library, the algorithm of the system and examples of the implementation of the contour method are given. The algorithm of the developed positioning technique includes the selection of the contou

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Ali, Wisam Hasan, Amnah Abas Kareem, and Manal Jasim. "Survey on Wireless Indoor Positioning Systems." Cihan University-Erbil Scientific Journal 3, no. 2 (2019): 42–47. http://dx.doi.org/10.24086/cuesj.v3n2y2019.pp42-47.

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Indoor positioning has finally testified a rise in interest, thanks to the big selection of services it is provided, and ubiquitous connectivity. There are currently many systems that can locate a person, be it wireless or by mobile phone and the most common systems in outdoor environments is the GPS, the most common in indoor environments is Wi-Fi positioning technique positioning. The improvement of positioning systems in indoor environments is desirable in many areas as it provides important facilities and services, such as airports, universities, factories, hospitals, and shopping malls. T

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Fokin, G. "EVOLUTION OF POSITIONING PROCEDURES IN MOBILE RADIO NETWORKS." Telecom IT 8, no. 1 (2020): 76–89. http://dx.doi.org/10.31854/2307-1303-2020-8-1-76-89.

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In this paper, we analyze the evolutionary features of positioning procedures in cellular 2G - 4G mobile radio systems. The analysis shows that along with the improvement of the architecture and methods of network positioning, new special mechanisms and procedures for the exchange of data appeared for the collection and processing of primary measurements during location estimation.

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22

Li, Yi-Shan, and Fang-Shii Ning. "Low-Cost Indoor Positioning Application Based on Map Assistance and Mobile Phone Sensors." Sensors 18, no. 12 (2018): 4285. http://dx.doi.org/10.3390/s18124285.

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Current mainstream navigation and positioning equipment, intended for providing accurate positioning signals, comprise global navigation satellite systems, maps, and geospatial databases. Although global navigation satellite systems have matured and are widespread, they cannot provide effective navigation and positioning services in covered areas or areas lacking strong signals, such as indoor environments. To solve the problem of positioning in environments lacking satellite signals and achieve cost-effective indoor positioning, this study aimed to develop an inexpensive indoor positioning pr

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23

Santa, José, Pedro J. Fernández, Ramon Sanchez-Iborra, Jordi Ortiz, and Antonio F. Skarmeta. "Offloading Positioning onto Network Edge." Wireless Communications and Mobile Computing 2018 (October 23, 2018): 1–13. http://dx.doi.org/10.1155/2018/7868796.

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While satellite or cellular positioning implies dedicated hardware or network infrastructure functions, indoor navigation or novel IoT positioning techniques include flexible storage and computation requirements that can be fulfilled by both end-devices or cloud back-ends. Hybrid positioning systems support the integration of several algorithms and technologies; however, the common trend of delegating position calculation and storage of local geoinformation to mobile devices or centralized servers causes performance degradation in terms of delay, battery usage, and waste of network resources.

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Dhondge, Kaustubh, Hyungbae Park, Baek-Young Choi, and Sejun Song. "ECOPS: Energy-Efficient Collaborative Opportunistic Positioning for Heterogeneous Mobile Devices." Journal of Computer Networks and Communications 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/136213.

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The fast growing popularity of smartphones and tablets enables us to use various intelligent mobile applications. As many of those applications require position information, smart mobile devices provide positioning methods such as Global Positioning System (GPS), WiFi-based positioning system (WPS), or Cell-ID-based positioning service. However, those positioning methods have different characteristics of energy-efficiency, accuracy, and service availability. In this paper, we present an Energy-Efficient Collaborative and Opportunistic Positioning System (ECOPS) for heterogeneous mobile devices

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25

Chen, Hsin-Yuan, and Chen-Hung Liu. "Hybrid GPS/GSM Positioning Systems Design with Fuzzy Logic." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 3 (2008): 254–62. http://dx.doi.org/10.20965/jaciii.2008.p0254.

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Global Positioning System (GPS) is based on a satellite system. Much work has been carried out on a non-satellite positioning systems using the existing Global System of Mobile Communications (GSM) infrastructure. This leads to a hybrid GPS/GSM positioning systems in the paper. We purpose to adopt GSM for positioning via an integrated switch design with fuzzy logic, if GPS lose efficacy. This induces four main research features in this paper. (1) Designs with optimal-based Fourier analyzer to achieve error of GPS decrease is presented. (2) New applications of fuzzy set theory are presented to

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26

Chen, Hua Jun, Jia Hua Zhang, and Ke Yan Xiao. "Research of Mobile GIS Development Status." Applied Mechanics and Materials 303-306 (February 2013): 2387–90. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.2387.

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Mobile GIS combines geographic information systems, mobile positioning technology, embedded systems, wireless communication technology and other technologies. It is the new direction of development of GIS technology. This paper first introduces the composition and features. Then development types, platform and languages are given detailed introduction. Finally the paper analyzes the problems of the development of mobile GIS and the prospect of Mobile GIS is presented.

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27

Carotenuto, Riccardo, Massimo Merenda, Demetrio Iero, and Francesco G. Della Corte. "Mobile Synchronization Recovery for Ultrasonic Indoor Positioning." Sensors 20, no. 3 (2020): 702. http://dx.doi.org/10.3390/s20030702.

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The growing interest for indoor position-based applications and services, as well as ubiquitous computing and location aware information, have led to increasing efforts toward the development of positioning techniques. Many applications require accurate positioning or tracking of people and assets inside buildings, and some market sectors are waiting for such technologies for starting a fast growth. Ultrasonic systems have already been shown to possess the desired positioning accuracy and refresh rate. However, they still require accurate synchronization between ultrasound emitters and receive

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28

Sharma, Amit. "Tracking Based on Global Positioning Systems for Security in Mobile Networks." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 5 (2017): 123–28. http://dx.doi.org/10.23956/ijarcsse/sv7i5/0259.

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29

Krasnov, Timur V., Valery N. Bondarenko, Denis S. Feoktistov, Vadim F. Garifullin, and Evgenij V. Bogatyrev. "Kalman filtering of coordinates determination for local positioning systems mobile objects." Journal of Physics: Conference Series 1399 (December 2019): 033019. http://dx.doi.org/10.1088/1742-6596/1399/3/033019.

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30

Acosta, Nelson, Juan Toloza, and Carlos Kornuta. "Fingerprint Database Variations for WiFi Positioning." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 10 (2013): 3101–7. http://dx.doi.org/10.24297/ijct.v11i10.2979.

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Indoor positioning systems calculate the position of a mobile device (MD) in an enclosed environment with relative precision. Most systems use WiFi infrastructure and several positioning techniques, where the most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the fingerprinting technique to calculate the error window obtained with the Euclidian distance as main metric. Build variations are presented for the Fingerprint database analyzing various statistical values to compare the precision achieved with different indicators.

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31

Filjar, Renato, Darko Huljenić, and Saša Dešić. "Distributed Positioning: A Network-Supported Method for Satellite Positioning Performance Improvement." Journal of Navigation 55, no. 3 (2002): 477–84. http://dx.doi.org/10.1017/s0373463302001996.

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Recent studies show that basic satellite positioning is reaching its limits in terms of performance improvements. Further enhancements in positioning performance can be based almost entirely on augmentation and procedures supported by other systems. Considering the complexity of the interrelationship with additional systems, intrinsically different solutions are being developed to solve the positioning performance improvement problem. Here we present a new concept in positioning. Dubbed distributed positioning, it merges basic satellite positioning with advanced and assisted positioning proced

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32

Cheng, Wang Bin, Lian Jiang, Chen Kuan Wen, Xuan Li, and Shu Hua Jiang. "Research on the Technology of Data Transmission and Position Detection Based on Induction Radio." Applied Mechanics and Materials 556-562 (May 2014): 3093–96. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3093.

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Researches have been conducted into the technology of data transmission and position detection based on induction radio to realize positioning control in mobile locomotive location, and the locomotives positioning control systems by induction radio have been designed. The principles and methods of induction radio technology are mainly analyzed. The reliable information transmission systems between locomotives and center control room are built, and the mobile locomotive location can be acquired by detecting the phase and amplitude of induced emf. The basic principles of data transmission by ind

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33

Fokin, G. "Evolution of Positioning Radio Interfaces in Mobile Radio Networks." Telecom IT 8, no. 2 (2020): 77–91. http://dx.doi.org/10.31854/2307-1303-2020-8-2-77-91.

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In this paper, we analyze the evolutionary features of the radio interfaces of cellular 2G–4G mobile radio systems from the point of view of solving network positioning problems. The analysis shows that along with the improvement of the parameters of positioning signals, special mechanisms appeared for their formation, processing and reuse in different cells, which contributed to increasing the accuracy of the collection of primary measurements.

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34

Batarlienė, Nijolė, and Adolfas Baublys. "MOBILE SOLUTIONS IN ROAD TRANSPORT." TRANSPORT 22, no. 1 (2007): 55–60. http://dx.doi.org/10.3846/16484142.2007.9638097.

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The article dwells on the aspects of mobile solutions of public information and transport. The work presents major decision making principles based on object positioning and a system of positioning‐based GSM solutions. The newly developed remote identification systems for transport facilities and goods and passenger transport and their schematic view are presented. The main units of the remote identification system of vehicles and goods embrace: TI portal, TVIM portal, content control system (SMS, GPRS), mobile phone, the unit for stating the geographical position of vehicles and goods. Portal

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35

Cui, Wei, Qingde Liu, Linhan Zhang, Haixia Wang, Xiao Lu, and Junliang Li. "A robust mobile robot indoor positioning system based on Wi-Fi." International Journal of Advanced Robotic Systems 17, no. 1 (2020): 172988141989666. http://dx.doi.org/10.1177/1729881419896660.

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Recently, most of the existing mobile robot indoor positioning systems (IPSs) use infrared sensors, cameras, and other extra infrastructures. They usually suffer from high cost and special hardware implementation. In order to address the above problems, this article proposes a Wi-Fi-based indoor mobile robot positioning system and designs and develops a robot positioning platform based on the commercial Wi-Fi devices, such as Wi-Fi routers. Furthermore, a robust principal component analysis-based extreme learning machine algorithm is proposed to address the issue of noisy measurements in IPSs.

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36

Yao, Lina, and Fengzhe Li. "Mobile Robot Localization Based on Vision and Multisensor." Journal of Robotics 2020 (June 8, 2020): 1–11. http://dx.doi.org/10.1155/2020/8701619.

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To deal with the low accuracy of positioning for mobile robots when only using visual sensors and an IMU, a method based on tight coupling and nonlinear optimization is proposed to obtain a high-precision visual positioning scheme by combining measured value of the preintegrated inertial measurement unit (IMU) and values of the odometer and characteristic observations. First, the preprocessing part of the observation data includes tracking of the image data and the odometer data, and preintegration of IMU data. Second, the initialization part of the above three sensors includes IMU preintegrat

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37

Al-Hamad, A., and N. El-Sheimy. "Smartphones Based Mobile Mapping Systems." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 5, 2014): 29–34. http://dx.doi.org/10.5194/isprsarchives-xl-5-29-2014.

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The past 20 years have witnessed an explosive growth in the demand for geo-spatial data. This demand has numerous sources and takes many forms; however, the net effect is an ever-increasing thirst for data that is more accurate, has higher density, is produced more rapidly, and is acquired less expensively. For mapping and Geographic Information Systems (GIS) projects, this has been achieved through the major development of Mobile Mapping Systems (MMS). MMS integrate various navigation and remote sensing technologies which allow mapping from moving platforms (e.g. cars, airplanes, boats, etc.)

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38

Bai, Jing, Yuchang Zhang, Xiansheng Qin, Zhanxi Wang, and Chen Zheng. "Hybrid calibration and detection approach for mobile robotic manufacturing systems." Industrial Robot: the international journal of robotics research and application 47, no. 4 (2020): 511–19. http://dx.doi.org/10.1108/ir-09-2019-0194.

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Purpose The purpose of this paper is to present a visual detection approach to predict the poses of target objects placed in arbitrary positions before completing the corresponding tasks in mobile robotic manufacturing systems. Design/methodology/approach A hybrid visual detection approach that combines monocular vision and laser ranging is proposed based on an eye-in-hand vision system. The laser displacement sensor is adopted to achieve normal alignment for an arbitrary plane and obtain depth information. The monocular camera measures the two-dimensional image information. In addition, a rob

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39

Luo, Chengming, Wei Li, Hai Yang, Baohua Ying, and Gaifang Xin. "Implementation of Mobile Target Positioning Technology Integrating SINS with WSN Measurements." Journal of Sensors 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/673179.

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Accurate and robust positioning technology is expected to promote management level and service efficiency in various industrial applications. The strap-down inertial navigation system (SINS) approach has short-term accurate positioning performance, but the SINS is known for its accumulative error over time. Meanwhile, wireless sensor networks (WSN) approach can keep the mobile target on effective tracking after a long time monitoring, but the WSN may have large positioning error in certain areas. In order to make the positioning method allow profit from their advantages, this paper proposes a

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40

Schmidt, Kathleen, Ralph C. Smith, Jason Hite, et al. "Sequential optimal positioning of mobile sensors using mutual information." Statistical Analysis and Data Mining: The ASA Data Science Journal 12, no. 6 (2019): 465–78. http://dx.doi.org/10.1002/sam.11431.

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41

Pshikhopov, Viacheslav, Mikhail Medvedev, Victor Krukhmalev, and Victor Shevchenko. "Base Algorithms of the Direct Adaptive Position-Path Control for Mobile Objects Positioning." Applied Mechanics and Materials 763 (May 2015): 110–19. http://dx.doi.org/10.4028/www.scientific.net/amm.763.110.

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Problem of a mobile object positioning in the presence of determinate disturbances is considered in this paper. A mobile object is described by kinematics and dynamics equations of a solid body in three dimensional space. The control inputs of the mobile object are forces and torques. Design of adaptive control is based on position-path control method for mobile objects. In this article two algorithms of the adaptive position-path control are developed. The first algorithm is adaptive position-path control with integration component and a reference model. The second algorithm is adaptive posit

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42

Zhang, Li, Hao Zhang, Xue Rong Cui, and T. Aaron Gulliver. "Ultra Wideband Indoor Positioning Using Kalman Filters." Advanced Materials Research 433-440 (January 2012): 4207–13. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4207.

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A time-difference-of-arrival (TDOA) positioning technique for indoor ultra wideband (UWB) systems is presented. Non-line-of-sight (NLOS) propagation error is a major source of error in positioning systems. Therefore an NLOS mitigation technique employing a Kalman filter is utilized to reduce the NLOS errors in indoor UWB environments. An extended Kalman filter (EKF) is used to process the TDOA data for mobile positioning and tracking. Performance results are presented which show that the proposed scheme can significantly improve the positioning accuracy in a UWB environment.

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43

Kim, Jae-Hoon, Kyoung Sik Min, and Woon-Young Yeo. "A Design of Irregular Grid Map for Large-Scale Wi-Fi LAN Fingerprint Positioning Systems." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/203419.

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The rapid growth of mobile communication and the proliferation of smartphones have drawn significant attention to location-based services (LBSs). One of the most important factors in the vitalization of LBSs is the accurate position estimation of a mobile device. The Wi-Fi positioning system (WPS) is a new positioning method that measures received signal strength indication (RSSI) data from all Wi-Fi access points (APs) and stores them in a large database as a form of radio fingerprint map. Because of the millions of APs in urban areas, radio fingerprints are seriously contaminated and confuse

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AKHMEDOV, Daulet, Meirbek MOLDABEKOV, Denis YERYOMIN, and Dinara ZHAXYGULOVA. "High Accuracy Positioning of Backbone Network Infrastructure and Mobile Objects." INCAS BULLETIN 11, no. 4 (2019): 3–10. http://dx.doi.org/10.13111/2066-8201.2019.11.4.1.

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This article deals with the system of high accuracy positioning of backbone railway network infrastructure and mobile objects of the Republic of Kazakhstan. Using the developments of high accuracy satellite positioning systems and backbone geodetic networks for creating the system of high accuracy positioning in the railway field will allow determining coordinates of backbone network infrastructure and mobile objects and sites of defects revealed with high accuracy and, moreover, will possess the high degree of reliability of conducted measurements of railway infrastructure elements. High accu

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45

Louchene, Ahmed, and Nour Eddine Bouguechal. "Positioning errors consideration for indoor mobile robot design." Industrial Robot: An International Journal 30, no. 2 (2003): 170–76. http://dx.doi.org/10.1108/01439910310464212.

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46

Bakuła, Mieczysław, Marcin Uradziński, and Kamil Krasuski. "Network Code DGNSS Positioning for Faster L1–L5 GPS Ambiguity Initialization." Sensors 20, no. 19 (2020): 5671. http://dx.doi.org/10.3390/s20195671.

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This paper presents DGNSS network code positioning using permanent geodetic networks, commonly used in GNSS measurements. Using several reference stations at the same time allows for the independent control of GNSS positioning and facilitates the more realistic estimation of accuracy. Test calculations were made on the basis of real GPS data, using one TRIMBLE mobile receiver and four nearest reference stations of the ASG-EUPOS geodetic system. In addition, DGNSS positioning computational simulations were performed for a case where one mobile GNSS receiver would be able to be used with two (e.

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Liu, Jianfeng, Jiexin Pu, Lifan Sun, and Zishu He. "An Approach to Robust INS/UWB Integrated Positioning for Autonomous Indoor Mobile Robots." Sensors 19, no. 4 (2019): 950. http://dx.doi.org/10.3390/s19040950.

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The key to successful positioning of autonomous mobile robots in complicated indoor environments lies in the strong anti-interference of the positioning system and accurate measurements from sensors. Inertial navigation systems (INS) are widely used for indoor mobile robots because they are not susceptible to external interferences and work properly, but the positioning errors may be accumulated over time. Thus ultra wideband (UWB) is usually adopted to compensate the accumulated errors due to its high ranging precision. Unfortunately, UWB is easily affected by the multipath effects and non-li

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Grujovic, Darko, and Mirjana Simic. "Adaptive algorithm for mobile user positioning based on environment estimation." Serbian Journal of Electrical Engineering 11, no. 3 (2014): 465–76. http://dx.doi.org/10.2298/sjee1403465g.

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This paper analyzes the challenges to realize an infrastructure independent and a low-cost positioning method in cellular networks based on RSS (Received Signal Strength) parameter, auxiliary timing parameter and environment estimation. The proposed algorithm has been evaluated using field measurements collected from GSM (Global System for Mobile Communications) network, but it is technology independent and can be applied in UMTS (Universal Mobile Telecommunication Systems) and LTE (Long-Term Evolution) networks, also.

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Rahman, Md Habibur, Mohammad Abrar Shakil Sejan, and Wan-Young Chung. "Multilateration Approach for Wide Range Visible Light Indoor Positioning System Using Mobile CMOS Image Sensor." Applied Sciences 11, no. 16 (2021): 7308. http://dx.doi.org/10.3390/app11167308.

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Visible light positioning (VLP) is a cost-effective solution to the increasing demand for real-time indoor positioning. However, owing to high computational costs and complicated image processing procedures, most of the existing VLP systems fail to deliver real-time positioning ability and better accuracy for image sensor-based large-area indoor environments. In this study, an effective method is proposed to receive coordinate information from multiple light-emitting diode (LED) lights simultaneously. It provides better accuracy in large experimental areas with many LEDs by using a smartphone-

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Son, Joo-Young. "A Vector-based Azimuth Algorithm using Indoor-Positioning Systems for Mobile Nodes." Journal of Navigation and Port Research 38, no. 5 (2014): 457–62. http://dx.doi.org/10.5394/kinpr.2014.38.5.457.

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