Academic literature on the topic 'Indoor magnetometer calibration. system'
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Journal articles on the topic "Indoor magnetometer calibration. system"
Chow, J. C. K. "STATISTICAL SENSOR FUSION OF A 9-DOF MEMS IMU FOR INDOOR NAVIGATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 333–38. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-333-2017.
Full textMa, Ming, Qian Song, Yang Gu, and Zhimin Zhou. "Use of Magnetic Field for Mitigating Gyroscope Errors for Indoor Pedestrian Positioning." Sensors 18, no. 8 (August 7, 2018): 2592. http://dx.doi.org/10.3390/s18082592.
Full textLi, You, Shady Zahran, Yuan Zhuang, Zhouzheng Gao, Yiran Luo, Zhe He, Ling Pei, Ruizhi Chen, and Naser El-Sheimy. "IMU/Magnetometer/Barometer/Mass-Flow Sensor Integrated Indoor Quadrotor UAV Localization with Robust Velocity Updates." Remote Sensing 11, no. 7 (April 8, 2019): 838. http://dx.doi.org/10.3390/rs11070838.
Full textYang, Wei, Chundi Xiu, Jiarui Ye, Zhixing Lin, Haisong Wei, Dayu Yan, and Dongkai Yang. "LSS-RM: Using Multi-Mounted Devices to Construct a Lightweight Site-Survey Radio Map for WiFi Positioning." Micromachines 9, no. 9 (September 12, 2018): 458. http://dx.doi.org/10.3390/mi9090458.
Full textMuraccini, Marco, Anna Mangia, Maurizio Lannocca, and Angelo Cappello. "Magnetometer Calibration and Field Mapping through Thin Plate Splines." Sensors 19, no. 2 (January 11, 2019): 280. http://dx.doi.org/10.3390/s19020280.
Full textMartins-Filho, Luiz S., and Jader De Amorim. "Experimental Magnetometer Calibration for Nanosatellites’ Navigation System." Journal of Aerospace Technology and Management 8, no. 1 (March 7, 2016): 103–12. http://dx.doi.org/10.5028/jatm.v8i1.586.
Full textKoprivica, Branko, Marko Sucurovic, and Alenka Milovanovic. "Calibration of ac induction magnetometer." Facta universitatis - series: Electronics and Energetics 31, no. 4 (2018): 613–26. http://dx.doi.org/10.2298/fuee1804613k.
Full textNevzorov, A. A., A. A. Orlov, V. K. Ignatjev, and A. A. Bardin. "Calibration algorithm of Hall magnetometer in visible coordinate system." Measurement 134 (February 2019): 939–46. http://dx.doi.org/10.1016/j.measurement.2018.11.065.
Full textFeng, Pan, Danyang Qin, Min Zhao, Ruolin Guo, and Teklu Berhane. "Unsupervised Indoor Positioning System Based on Environmental Signatures." Entropy 21, no. 3 (March 26, 2019): 327. http://dx.doi.org/10.3390/e21030327.
Full textLong, Dafeng, Xiaoming Zhang, Xiaohui Wei, Zhongliang Luo, and Jianzhong Cao. "A Fast Calibration and Compensation Method for Magnetometers in Strap-Down Spinning Projectiles." Sensors 18, no. 12 (November 27, 2018): 4157. http://dx.doi.org/10.3390/s18124157.
Full textDissertations / Theses on the topic "Indoor magnetometer calibration. system"
Mohamadabadi, Kaveh. "Anisotropic Magnetoresistance Magnetometer for inertial navigation systems." Phd thesis, Ecole Polytechnique X, 2013. http://tel.archives-ouvertes.fr/tel-00946970.
Full textSäll, Joel, and Johnny Merkel. "Indoor Navigation Using Accelerometer and Magnetometer." Thesis, Linköpings universitet, Institutionen för systemteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71277.
Full textLiu, Yang. "An indoor pedestrian localisation system with self-calibration capability." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/13474/.
Full textMohd, Sabri Roslee. "Design of an adaptive RF fingerprint indoor positioning system." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31069.
Full textChang, Dun-Yuan, and 鄭惇元. "WLAN Smart Antenna System Implement - Beam Calibration and Indoor Beamforming Optimization." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/7uf7uh.
Full text元智大學
通訊工程學系
106
The establishment of a smart antenna system is mainly composed of a phase control circuit with a phased array antenna. By integrating different software programs with a rewritable microprocessor controller Create different application methods to develop of beam calibration measurement and indoor beamforming optimization . This thesis studies develop two different smart antenna system applications at 2.4 GHz. The goal of the developed are reduced the manual calibration time and increased the performance of the phase array antenna. Another application is to integrate the smart antenna system into the Internet, Wifi, and cloud server. User will upload the usage status to the cloud server through the Internet. Through data reporting, the cloud algorithm calculates the coverage of the antenna so that Wifi signal strength of user is in the best condition.
Shih-ChiHsiao and 蕭世奇. "Database Calibration using Spatial Interpolation Methods and the Position Error Bounding for Real Time Indoor Positioning System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/58520142170147481352.
Full text國立成功大學
航空太空工程學系碩博士班
101
Nowadays, there is a great need for real time indoor positioning systems of mobile users, since the well-developed MEMS technology and there are many kinds of mobile communications devices. It seems that Location Based Service is getting popular to people. Therefore, a low cost and low power consumption Real Time Indoor Positioning System (RTIPS) that is integrated with a self-developed indoor Geographic Information System (GIS) has been developed by Hsu, et al of National Cheng Kung University (NCKU). In order to make RTIPS more flexible to applications, this work tries to implement RTIPS to a larger indoor environment. Once the application location is larger, the challenge we meet is the positioning database calibration because the costs related to time and labor for calibrating a wide area are much higher than those for a smaller site. The purpose of this thesis is to achieve a more available system for an indoor positioning system; thus, this thesis extends the study on the database calibration algorithms of a fingerprint positioning algorithm. In the database calibration stage, the collected signal quality might be affected if the positioning space is geometrically complicated. Thus, the signal transmission paths will be more complicated as well. As a result, we place an emphasis on utilizing two spatial interpolation methods including: 1) the Inverse Distance Weighting (IDW) method; 2) the Kriging method, that are used to yield a denser database from the raw data measurements. Additionally, another purpose of this thesis is to establish a procedure to determine the parameters of the theoretical models since most researches mentioned the parameters regarding as the “sill” and “range” estimation of a semi-variogram that usually depend on a trial and error approach, which consumes a great deal of time. We also conduct a study to investigate the optimal sensor numbers for different indoor environments for users. Finally, in order to make this system more complete, we determine the confidence bound of the positioning result by using the estimation variance provided by the Kriging method through the interpolation process. Moreover, we modify the estimation variance to define and calculate the confidence bound for indoor positioning, to provide users with a more safe indoor positioning service.
Book chapters on the topic "Indoor magnetometer calibration. system"
Troll, Péter, Károly Szipka, and Andreas Archenti. "Indoor Localization of Quadcopters in Industrial Environment." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200183.
Full textConference papers on the topic "Indoor magnetometer calibration. system"
Poulose, Alwin, Jihun Kim, and Dong Seog Han. "Indoor Localization with Smartphones: Magnetometer Calibration." In 2019 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2019. http://dx.doi.org/10.1109/icce.2019.8661986.
Full textHellmers, Hendrik, Abdelmoumen Norrdine, Jorg Blankenbach, and Andreas Eichhorn. "An IMU/magnetometer-based Indoor positioning system using Kalman filtering." In 2013 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2013. http://dx.doi.org/10.1109/ipin.2013.6817887.
Full textBusato, Ariela, Pavel Paces, and Jan Popelka. "Magnetometer data fusion algorithms performance in indoor navigation: Comparison, calibration and testing." In 2014 IEEE Metrology for Aerospace (MetroAeroSpace). IEEE, 2014. http://dx.doi.org/10.1109/metroaerospace.2014.6865955.
Full textLeplawy, Marcin, Piotr Lipinski, and Krzysztof Lichy. "Hybrid localization indoor system using WiFi and magnetometer sensor." In 2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF). IEEE, 2017. http://dx.doi.org/10.1109/isef.2017.8090723.
Full textPark, P., W. Kim, S. M. Amran, and V. Y. Shifrin. "Calibration system for magnetometer in low magnetic field range." In 2017 IEEE International Magnetics Conference (INTERMAG). IEEE, 2017. http://dx.doi.org/10.1109/intmag.2017.8007974.
Full textYan, Rui, Fubin Zhang, and Huihui Chen. "A MEMS-based Magnetometer Calibration Approach in AUV Navigation System." In OCEANS 2019 - Marseille. IEEE, 2019. http://dx.doi.org/10.1109/oceanse.2019.8867368.
Full textKoppe, Enrico, Daniel Augustin, Achim Liers, and Jochen Schiller. "Automatic 3D calibration for a multi-sensor system." In 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2012. http://dx.doi.org/10.1109/ipin.2012.6418870.
Full textVaupel, Thorsten, Jochen Seitz, Frederic Kiefer, Stephan Haimerl, and Jorn Thielecke. "Wi-Fi positioning: System considerations and device calibration." In 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2010. http://dx.doi.org/10.1109/ipin.2010.5646207.
Full textPetrucha, Vojtech, and Petr Kaspar. "Calibration of a triaxial fluxgate magnetometer and accelerometer with an automated non-magnetic calibration system." In 2009 IEEE Sensors. IEEE, 2009. http://dx.doi.org/10.1109/icsens.2009.5398466.
Full textSelmi, Ikhlas, Alexandre Vervisch-Picois, Yaneck Gottesman, and Nel Samama. "Optical and radio calibration of the repealite based indoor positioning system." In 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2012. http://dx.doi.org/10.1109/ipin.2012.6418906.
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