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Relevant bibliographies by topics / Trilateration

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Academic literature on the topic 'Trilateration'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Trilateration"

1

Jondhale, Satish R., Amruta S. Jondhale, Pallavi S. Deshpande, and Jaime Lloret. "Improved trilateration for indoor localization: Neural network and centroid-based approach." International Journal of Distributed Sensor Networks 17, no. 11 (2021): 155014772110539. http://dx.doi.org/10.1177/15501477211053997.

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Location awareness is the key to success to many location-based services applications such as indoor navigation, elderly tracking, emergency management, and so on. Trilateration-based localization using received signal strength measurements is widely used in wireless sensor network–based localization and tracking systems due to its simplicity and low computational cost. However, localization accuracy obtained with the trilateration technique is generally very poor because of fluctuating nature of received signal strength measurements. The reason behind such notorious behavior of received signa

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Zhou, Yu, Wenfei Liu, Xionghui Lu, and Xu Zhong. "Single-Camera Trilateration." Applied Sciences 9, no. 24 (2019): 5374. http://dx.doi.org/10.3390/app9245374.

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This paper presents a single-camera trilateration scheme which estimates the instantaneous 3D pose of a regular forward-looking camera from a single image of landmarks at known positions. Derived on the basis of the classical pinhole camera model and principles of perspective geometry, the proposed algorithm estimates the camera position and orientation successively. It provides a convenient self-localization tool for mobile robots and vehicles equipped with onboard cameras. Performance analysis has been conducted through extensive simulations with representative examples, which provides an in

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Rossow, Mark P. "Trilateration Computer Program." Journal of Surveying Engineering 131, no. 3 (2005): 94–96. http://dx.doi.org/10.1061/(asce)0733-9453(2005)131:3(94).

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Ainul, Rafina Destiarti. "An enhanced trilateration algorithm for indoor RSSI based positioning system using zigbee protocol." JURNAL INFOTEL 14, no. 4 (2022): 301–6. http://dx.doi.org/10.20895/infotel.v14i4.822.

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Location information of the object based on wireless communication will play crucial role in several Wireless Sensor Network (WSN) applications. Some applications need to know the exact position of the object. The advantages of Zigbee as the part of Radio Frequency (RF) technology such as low cost, high scalability, high availability, and supporting topology for Indoor positioning system (IPS). In this paper, we propose IPS using Received Signal Strength Indicator (RSSI) based Zigbee protocol. The proposed approach is based on the enhancement of Trilateration algorithm. Basically, the main con

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Luo, Qinghua, Kexin Yang, Xiaozhen Yan, Jianfeng Li, Chenxu Wang, and Zhiquan Zhou. "An Improved Trilateration Positioning Algorithm with Anchor Node Combination and K-Means Clustering." Sensors 22, no. 16 (2022): 6085. http://dx.doi.org/10.3390/s22166085.

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As a classic positioning algorithm with a simple principle and low computational complexity, the trilateration positioning algorithm utilizes the coordinates of three anchor nodes to determine the position of an unknown node, which is widely applied in various positioning scenes. However, due to the environmental noise, environmental interference, the distance estimation error, the uncertainty of anchor nodes’ coordinates, and other negative factors, the positioning error increases significantly. For this problem, we propose a new trilateration algorithm based on the combination and K-Means cl

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Joséphine Mpole Boyokame, Ch. G. Lionel Nkouka Moukengue, Flory Lidinga Mobonda, N. Meni Babakidi, J. G. Cimbela Kasongo, and Maguiraga Madiassa. "Method of locating a target with a Mimo radar distributed at the international airport of Ndjili in Kinshasa." World Journal of Advanced Research and Reviews 18, no. 2 (2023): 952–62. http://dx.doi.org/10.30574/wjarr.2023.18.2.0900.

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This system is based on a UWB wave distributed radar using a trilateration algorithm for localization. Before describing the complete system, we detail some signal processing techniques on the UWB signals acquired directly at the output of the reception antenna. To apply the trilateration algorithm, the signals coming from the reception antennas must first be shaped. The necessary processing is to improve the signal to noise ratio (S/N), to extract the signal envelope and to determine the propagation time. Once the propagation time is known, the trilateration algorithm is used to locate the ta

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Vincent, François, Eric Chaumette, Christophe Charbonnieras, Jonathan Israel, Marion Aubault, and Franck Barbiero. "Asymptotically efficient GNSS trilateration." Signal Processing 133 (April 2017): 270–77. http://dx.doi.org/10.1016/j.sigpro.2016.11.027.

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Joséphine, Mpole Boyokame, G. Lionel Nkouka Moukengue Ch., Lidinga Mobonda Flory, Meni Babakidi N., G. Cimbela Kasongo J., and Madiassa Maguiraga. "Method of locating a target with a Mimo radar distributed at the international airport of Ndjili in Kinshasa." World Journal of Advanced Research and Reviews 18, no. 2 (2023): 952–60. https://doi.org/10.5281/zenodo.8406324.

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This system is based on a UWB wave distributed radar using a trilateration algorithm for localization. Before describing the complete system, we detail some signal processing techniques on the UWB signals acquired directly at the output of the reception antenna. To apply the trilateration algorithm, the signals coming from the reception antennas must first be shaped. The necessary processing is to improve the signal to noise ratio (S/N), to extract the signal envelope and to determine the propagation time. Once the propagation time is known, the trilateration algorithm is used to locate the ta

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Qureshi, Umair Mujtaba, Zuneera Umair, and Gerhard Petrus Hancke. "Evaluating the Implications of Varying Bluetooth Low Energy (BLE) Transmission Power Levels on Wireless Indoor Localization Accuracy and Precision." Sensors 19, no. 15 (2019): 3282. http://dx.doi.org/10.3390/s19153282.

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Bluetooth Low Energy (BLE) based Wireless Indoor Localization System (WILS) with high localization accuracy and high localization precision is a key requirement in enabling the Internet of Things (IoT) in today’s applications. In this paper, we investigated the effect of BLE signal variations on indoor localization caused by the change in BLE transmission power levels. This issue is not often discussed as most of the works on localization algorithms use the highest power levels but has important practical implications for energy efficiency, e.g., if a designer would like to trade-off localizat

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Zhou, Yu. "A closed-form algorithm for the least-squares trilateration problem." Robotica 29, no. 3 (2010): 375–89. http://dx.doi.org/10.1017/s0263574710000196.

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SUMMARYTrilateration is the most adopted external reference-based localization technique for mobile robots, given the correspondence of external references. The nonlinear least-squares trilateration formulation provides an optimal position estimate from a general number (greater than or equal to the dimension of the environment) of reference points and corresponding distance measurements. This paper presents a novel closed-form solution to the nonlinear least-squares trilateration problem. The performance of the proposed algorithm in dealing with erroneous inputs of reference points and distan

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Dissertations / Theses on the topic "Trilateration"

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Moleski, Travis W. "Trilateration Positioning Using Hybrid Camera-LiDAR System." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1628267212548992.

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Karlsson, Tom, and Mike Persson. "Outdoor localization in long range WSN using trilateration." Thesis, Linköpings universitet, Fysik och elektroteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141689.

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This thesis report investigates how good position estimations that can be done outdoors with received signal strength indication (RSSI) trilateration for sub 1-GHz radio nodes. A custom network and an empirical distance model have been created as well as a technique for weighting multiple distance estimations, using wrapped normal probability density functions. The developed localization system was tested on an open area of one square kilometer, to estimate a node’s position on various locations. To evaluate the localization system, mean and median error of the estimated positions were calcula

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Dawood, Sivan, and Catharina Frindt. "Bluetooth Low Energy using Trilateration with Anybus Wireless Bolt." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39733.

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Carlsson, Anton, Filip Gölander, and Fredrik Sandelin. "User Configurable Indoor Positioning System using WiFi Trilateration and Fingerprinting." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323355.

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The use of smartphones for positioning and navigation is mostly limited to outdoor settings. Indoors, where GPS signals are too inaccurate for positioning, an alternative must be used. This project aimed at producing an indoor positioning system which could be both configured and used by an end user organization without equipping its buildings with proprietary hardware. The prerequisites were that a complete digital representation of the building floors is available, and that the floors have a sufficient amount of WiFi access points. Our system measures radio signal strength from existing WiFi

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Nygård, Niklas. "Indoor positioning utilizing Bluetooth Smart : A comparative study between trilateration and fingerprinting." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-178968.

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This thesis explores the possibilities of constructing an indoor positioning system based on Bluetooth Smart technology. Two non-trainable trilateration approaches and two trainable fingerprinting were implemented and evaluated at Mobiento's offices in Stockholm, Sweden. A trilateration approach is based on finding a sought location based on known distances towards know locations, at least three locations and distances are needed. A fingerprinting approach is based on creating a radio map, which describes transmission signals within the room, towards different transmitters. A set amount of coo

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Yang, Bowen. "Development of a Self-Calibrated Motion Capture System by Nonlinear Trilateration of Multiple Kinects v2." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35321.

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In this paper, a Kinect-based distributed and real-time motion capture system is developed. A trigonometric method is applied to calculate the relative positions of Kinect v2 sensors with a calibration wand and register the sensors’ positions automatically. By combining results from multiple sensors with a nonlinear least square method, the accuracy of motion capture is optimized. Moreover, to exclude inaccurate results from sensors, a computational geometry is applied in the occlusion approach to discover occluded joint data. The synchronization approach is based on the NTP protocol, which sy

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Niu, Kayla, Asif Shahidullah, Andrea Bilarasau, James Ringle, Michaelina Sorrell, and Luke Zurmehly. "A Low Cost Open-Air Tracking System Based on an Empirical Path-Loss Model." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596380.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV<br>Tracking small marmosets over a large area represents a significant challenge for researchers. The native habitat for such animals are generally unsuitable for GPS based location systems, and the size of the animals prevents large, feature-rich collars from being utilized. Additionally, costs and feasibility prevent researchers from continuously monitoring these animals on the ground. This paper p

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Johansson, Mathias, and Mikael Karlsson. "Utvärdering av inomhuslokalisering med Bluetooth Low Energy." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Data- och elektroteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-26788.

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Wireless communication is becoming more common, a relatively new technology within the area is Bluetooth Low Energy. It’s been developed to be energy efficient and in regard to compatibility. Alongside the growth of wireless technology, scientists and companies are looking for new areas of use. One of these is localization, which means to determine the position of a moving device with the use of stationary devices, an example of this would be GPS.This report means to evaluate indoor localization using Bluetooth Low Energy and was made for Combitech AB in Jönköping. The purpose of the work was

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Pehrson, Skidén Petter. "Range Based Indoor Localization in Wireless Sensor Networks with Telos." Thesis, Linköpings universitet, Kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91844.

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Localization of individual nodes in a wireless network is useful in many applications, e.g for tracking patients in hospitals. Using the Received Signal Strength Indicator, RSSI, for this purpose has been explored in numerous studies. It is energy efficient and rarely requires customised hardware of configuration. The possibility to use pre-configured, off-the-shelf products is especially important in large scale sensor network deployments. Using RSSI has, however, many drawbacks, since the radio signal is heavily affected by the surrounding envi- ronment. Most studies in this area discuss the

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Hörnlund, Emil, and Rasmus Schenström. "Indoor Location Surveillance : Utilizing Wi-Fi and Bluetooth Signals." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17978.

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Personal information nowadays have become valuable for many stakeholders. We want to find out how much information someone can gather from our daily devices such as a smartphone, using some budget devices together with some programming knowledge. Can we gather enough information to be able to determine a location to a target device? The main objectives of our bachelor thesis is to determine the accuracy of positioning for nearby personal devices using trilateration of short-distance communications (Wi-Fi vs Bluetooth). But also, how much and what information our devices leak without us knowing

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Books on the topic "Trilateration"

1

Dzurisin, Daniel. Preliminary results of precise leveling and trilateration surveys in Yellowstone National Park, Wyoming, 1985. U.S. Geological Survey, 1986.

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Hosseini, S. M. Nouri. Adjustment of multi-station survey networks & development of a comprehensive suite of computer software for traverse, triangulation, trilateration and triangulateration systems. UMUST, 1988.

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Kahmen, Heribert, and Walter Großmann. Winkel- und Streckenmeßgeräte, Polygonierung, Triangulation und Trilateration. de Gruyter GmbH, Walter, 2020.

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Grossmann, Walter. Winkel- und Streckenmeßgeräte, Polygonierung, Triangulation und Trilateration. de Gruyter GmbH, Walter, 2019.

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Kahmen, Heribert. Winkel- und Streckenmeßgeräte, Polygonierung, Triangulation und Trilateration, Satellitengeodäsie. de Gruyter GmbH, Walter, 1986.

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Kahmen, Heribert. Winkel- und Streckenmeßgeräte, Polygonierung, Triangulation und Trilateration, Satellitengeodäsie. de Gruyter GmbH, Walter, 2020.

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7

National Aeronautics and Space Administration and NASA. Trilateration Range and Range Rate System. Volume 1 : CDA System Manual: February 1 1976. Independently Published, 2022.

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Schmitz, Tony. Implementation of Simultaneous Trilateration to Measure Dynamic Three-Dimensional Contours Using the Laser Ball Bar. Creative Media Partners, LLC, 2018.

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Schmitz, Tony. The Implementation of Simultaneous Trilateration to Measure Dynamic Three-dimensional Contours Using the Laser Ball Bar. Dissertation Discovery Company, 2018.

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Book chapters on the topic "Trilateration"

1

Sturgess, Bryant N., and Frank T. Carey. "Trilateration." In The Surveying Handbook. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-1188-2_11.

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Shekhar, Shashi, and Hui Xiong. "Trilateration." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1414.

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Sturgess, Bryant N., and Frank T. Carey. "Trilateration." In The Surveying Handbook. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2067-2_12.

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Uren, J., and W. F. Price. "Triangulation and Trilateration." In Surveying for Engineers. Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-07348-1_6.

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Uren, J., and W. F. Price. "Triangulation and Trilateration." In Surveying for Engineers. Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-07355-9_6.

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Gancheva, Veska, and Hristo Stoev. "DNA Sequence Alignment Method Based on Trilateration." In Bioinformatics and Biomedical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17935-9_25.

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Nazareth, Pradeep, B. R. Chandavarkar, and Priyansh Kumar Dubey. "Trilateration Based Localization for Underwater Sensor Networks." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2631-0_57.

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Bai, Lu, Maurice D. Mulvenna, and Raymond R. Bond. "Indoor Localization Using Trilateration and Location Fingerprinting Methods." In Machine Learning for Indoor Localization and Navigation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26712-3_4.

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Jondhale, Satish R., R. Maheswar, and Jaime Lloret. "Trilateration-Based Target L&T Using RSSI." In Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74061-0_4.

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Filonenko, Viacheslav, Charlie Cullen, and James D. Carswell. "Asynchronous Ultrasonic Trilateration for Indoor Positioning of Mobile Phones." In Web and Wireless Geographical Information Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29247-7_4.

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Conference papers on the topic "Trilateration"

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Yang, Zuomin, Lu Zhang, Zhidong Lyu, Xing Fang, Qiuzhuo Deng, and Xianbin Yu. "Trilateration-Based Photonic THz Radar for 3D Positioning." In 2024 International Topical Meeting on Microwave Photonics (MWP). IEEE, 2024. http://dx.doi.org/10.1109/mwp62612.2024.10736309.

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Moleski, Travis W., and Jay P. Wilhelm. "Hybrid Camera-LiDAR Trilateration with Lens Distortion Correction." In 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024). Institute of Navigation, 2024. http://dx.doi.org/10.33012/2024.19875.

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Shendre, Sanjivani P., M. Yagnasri Priya, Swetha Sridhar, Samrudhi S. Kamble, and Manju Khanna. "Anylogic and Python-Based Gunshot Detection System Using CNN and Trilateration." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10625443.

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Larsson, Martin, Erik Tegler, Kalle Astrom, and Magnus Oskarsson. "Trilateration Using Motion Models." In 2022 25th International Conference on Information Fusion (FUSION). IEEE, 2022. http://dx.doi.org/10.23919/fusion49751.2022.9841240.

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Zhou, Yu. "An Effective Trilateration Algorithm for Mobile Robot Positioning Based on Multiple Reference Points." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87505.

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This paper presents a novel trilateration algorithm which estimates the position of a target object, such as a mobile robot, in a 2D or 3D space based on the simultaneous distance measurements from multiple reference points. The proposed algorithm is derived from the nonlinear least-squares formulation of trilateration, and provides a globally optimal position estimate from a general number of reference points and corresponding distance measurements. Using standard linear algebra techniques, the proposed algorithm has relatively low computational complexity and high operational robustness. Sim

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Muller, Philipp, and Robert Piche. "Statistical trilateration with skew-t errors." In 2015 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2015. http://dx.doi.org/10.1109/icl-gnss.2015.7217164.

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"TRILATERATION LOCALIZATION FOR MULTI-ROBOT TEAMS." In Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001508803010307.

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Larsson, Martin, Viktor Larsson, Kalle Astrom, and Magnus Oskarsson. "Optimal Trilateration Is an Eigenvalue Problem." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683355.

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Cheung, Kar-Ming, and Charles Lee. "A trilateration scheme for relative positioning." In 2017 IEEE Aerospace Conference. IEEE, 2017. http://dx.doi.org/10.1109/aero.2017.7943800.

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AlQahtani, Ali Abdullah S., Hosam Alamleh, Jean Gourd, and Hend Alnuhait. "TS2FA: Trilateration System Two Factor Authentication." In 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS). IEEE, 2020. http://dx.doi.org/10.1109/iccais48893.2020.9096825.

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Reports on the topic "Trilateration"

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Booth, Stephanie, and Jeffrey J. Carlson. Mobile Device Application for Gunshot Trilateration. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1592864.

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