Добірка наукової літератури з теми "Inertial navigation; Kalman filter"
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Статті в журналах з теми "Inertial navigation; Kalman filter"
Zhang, Xing Zhi, Kun Peng He, and Chen Yang Wang. "Transfer Alignment for MEMS Integrated Navigation System Based on H∞ Filter." Applied Mechanics and Materials 490-491 (January 2014): 886–90. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.886.
Повний текст джерелаWang, Ning. "Satellite/Inertial Navigation Integrated Navigation Method Based on Improved Kalman Filtering Algorithm." Mobile Information Systems 2022 (May 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/4627111.
Повний текст джерелаZhou, Weidong, Jiaxin Hou, Lu Liu, Tian Sun, and Jing Liu. "Design and Simulation of the Integrated Navigation System based on Extended Kalman Filter." Open Physics 15, no. 1 (April 17, 2017): 182–87. http://dx.doi.org/10.1515/phys-2017-0019.
Повний текст джерелаFariz, Outamazirt, Muhammad Ushaq, Yan Lin, and Fu Li. "Enhanced Accuracy Navigation Solutions Realized through SINS/GPS Integrated Navigation System." Applied Mechanics and Materials 332 (July 2013): 79–85. http://dx.doi.org/10.4028/www.scientific.net/amm.332.79.
Повний текст джерелаQian, Kun, Jian-Guo Wang, and Baoxin Hu. "Novel Integration Strategy for GNSS-Aided Inertial Integrated Navigation." GEOMATICA 69, no. 2 (June 2015): 217–30. http://dx.doi.org/10.5623/cig2015-205.
Повний текст джерелаAn, Shi Qi, and Jun Kai Zhang. "The Study of Kalman Filtering Algorithm in the Initial Alignment of Strapdown Inertial Navigation System." Applied Mechanics and Materials 740 (March 2015): 596–99. http://dx.doi.org/10.4028/www.scientific.net/amm.740.596.
Повний текст джерелаGopaul, N. S., J. G. Wang, and B. Hu. "Discrete EKF with pairwise Time Correlated Measurement Noise for Image-Aided Inertial Integrated Navigation." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2 (November 11, 2014): 61–66. http://dx.doi.org/10.5194/isprsannals-ii-2-61-2014.
Повний текст джерелаSvensson, A., and J. Holst. "Integration of Navigation Data." Journal of Navigation 48, no. 1 (January 1995): 114–35. http://dx.doi.org/10.1017/s0373463300012558.
Повний текст джерелаWang, Qi, Cheng Shan Qian, Zi Jia Zhang, and Chang Song Yang. "Application of Federated Filter to AUV Based on Terrain-Aided SINS." Applied Mechanics and Materials 711 (December 2014): 338–41. http://dx.doi.org/10.4028/www.scientific.net/amm.711.338.
Повний текст джерелаHide, Christopher, Terry Moore, and Martin Smith. "Adaptive Kalman Filtering for Low-cost INS/GPS." Journal of Navigation 56, no. 1 (January 2003): 143–52. http://dx.doi.org/10.1017/s0373463302002151.
Повний текст джерелаДисертації з теми "Inertial navigation; Kalman filter"
Rogers, Jonas Paul. "GNSS and Inertial Fused Navigation Filter Simulation." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/1303.
Повний текст джерелаMarquis, Carl W. "Integration of differential GPS and inertial navigation using a complementary Kalman filter /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA273370.
Повний текст джерелаThesis advisor(S): Kaminer, Isaac I. "September 1993." Includes bibliographical references. Also available online.
Marquis, Carl W. III. "Integration of differential GPS and inertial navigation using a complementary Kalman filter." Thesis, Monterey, California. Naval Postgraduate School, 1993. http://hdl.handle.net/10945/39974.
Повний текст джерелаPrecise navigation with high update rates is essential for automatic landing of an unmanned aircraft. Individual sensors currently available - INS, AHRS, GPS, LORAN, etc. - cannot meet both requirements. The most accurate navigation sensor available today is the Global Positioning System or GPS. However, GPS updates only come once per second. INS, being an on-board sensor, is available as often as necessary. Unfortunately, it is subject to the Schuler cycle, biases, noise floor, and cross-axis sensitivity. In order to design and verify a precise, high update rate navigation system, a working model of Differential GPS has been developed including all of the major GPS error sources - clock differences, atmospherics, selective availability and receiver noise. A standard INS system was also modeled, complete with the inaccuracies mentioned. The outputs of these two sensors - inertial acceleration and pseudoranges - can be optimally blended with a complementary Kalman filter for positioning. Eventually, in the discrete case, the high update rate and high precision required for autoland can be achieved.
Abdul, Sattar H. L. "An adaptive U-D factorized Kalman filter for strap down inertial navigation system." Thesis, Cranfield University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237549.
Повний текст джерелаHartana, Pande. "Comparison of linearized and extended Kalman filter in GPS-aided inertial navigation system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0015/MQ57729.pdf.
Повний текст джерелаHartana, Pande (Pande Putu Gde) Carleton University Dissertation Engineering Mechanical and Aerospace. "Comparison of linearized and extended Kalman filter in GPS aided inertial navigation system." Ottawa, 2000.
Знайти повний текст джерелаAkcay, Emre Mustafa. "Land Vehicle Navigation With Gps/ins Sensor Fusion Using Kalman Filter." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12610327/index.pdf.
Повний текст джерелаs surface independent of his position. Yet, there are some conditions that the receiver encounters difficulties, such as weather conditions and some blockage problems due to buildings, trees etc. Due to these difficulties, GPS receivers&rsquo
errors increase. On the other hand, IMU works with respect to Newton&rsquo
s laws. Thus, in stark contrast with other navigation sensors (i.e. radar, ultrasonic sensors etc.), it is not corrupted by external signals. Owing to this feature, IMU is used in almost all navigation applications. However, it has some disadvantages such as possible alignment errors, computational errors and instrumentation errors (e.g., bias, scale factor, random noise, nonlinearity etc.). Therefore, a fusion or integration of GPS and IMU provides a more accurate navigation data compared to only GPS or only IMU navigation data. v In this thesis, loosely coupled GPS/IMU integration systems are implemented using feed forward and feedback configurations. The mechanization equations, which convert the IMU navigation data (i.e. acceleration and angular velocity components) with respect to an inertial reference frame to position, velocity and orientation data with respect to any desired frame, are derived for the geographical frame. In other words, the mechanization equations convert the IMU data to the Inertial Navigation System (INS) data. Concerning this conversion, error model of INS is developed using the perturbation of the mechanization equations and adding the IMU&rsquo
s sensor&rsquo
s error model to the perturbed mechanization equation. Based on this error model, a Kalman filter is constructed. Finally, current navigation data is calculated using IMU data with the help of the mechanization equations. GPS receiver supplies external measurement data to Kalman filter. Kalman filter estimates the error of INS using the error mathematical model and current navigation data is updated using Kalman filter error estimates. Within the scope of this study, some real experimental tests are carried out using the software developed as a part of this study. The test results verify that feedback GPS/INS integration is more accurate and reliable than feed forward GPS/INS. In addition, some tests are carried out to observe the results when the GPS receiver&rsquo
s data lost. In these tests also, the feedback GPS/INS integration is observed to have better performance than the feed forward GPS/INS integration.
Magree, Daniel Paul. "Monocular vision-aided inertial navigation for unmanned aerial vehicles." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53892.
Повний текст джерелаGautam, Ishwor. "Quaternion based attitude estimation technique involving the extended Kalman filter." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1556196539847396.
Повний текст джерелаEddy, Joshua Galen. "A Hardware-Minimal Unscented Kalman Filter Framework for Visual-Inertial Navigation of Small Unmanned Aircraft." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/77927.
Повний текст джерелаMaster of Science
Книги з теми "Inertial navigation; Kalman filter"
Weill, Lawrence R. (Lawrence Randolph), 1938-, Andrews Angus P, and Wiley online library, eds. Global positioning systems, inertial navigation, and integration. 2nd ed. Hoboken, N.J: Wiley-Interscience, 2007.
Знайти повний текст джерелаP, Andrews Angus, Bartone Chris, and ebrary Inc, eds. Global navigation satellite systems, inertial navigation, and integration. 3rd ed. Hoboken: John Wiley & Sons, 2013.
Знайти повний текст джерелаNorth Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Kalman filter integration of modern guidance and navigation systems. Neuilly sur Seine, France: AGARD, 1989.
Знайти повний текст джерела1938-, Weill Lawrence Randolph, and Andrews Angus P, eds. Global positioning systems, inertial navigation, and integration. New York: John Wiley, 2001.
Знайти повний текст джерелаLeach, B. W. A Kalman filter integrated navigation design for the IAR twin otter atmospheric research aircraft. Ottawa: National Research Council of Canada, 1991.
Знайти повний текст джерелаApplied mathematics in integrated navigation systems. 2nd ed. Reston, VA: American Institute of Aeronautics and Astronautics, 2003.
Знайти повний текст джерелаApplied mathematics in integrated navigation systems. 3rd ed. Reston, VA: American Institute of Aeronautics and Astronautics, 2007.
Знайти повний текст джерелаCarpenter, J. Russell. Progress in navigation filter estimate fusion and its application to spacecraft rendezvous. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаCarpenter, J. Russell. Progress in navigation filter estimate fusion and its application to spacecraft rendezvous. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаLeader, Daniel Eugene. Kalman filter estimation of underwater vehicle position and attitude using a Doppler velocity aided inertial motion unit. Springfield, Va: Available from National Technical Information Service, 1994.
Знайти повний текст джерелаЧастини книг з теми "Inertial navigation; Kalman filter"
Noureldin, Aboelmagd, Tashfeen B. Karamat, and Jacques Georgy. "Kalman Filter." In Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integration, 225–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30466-8_7.
Повний текст джерелаShi, Zhijian, Ruochen Feng, Rui Lin, and Gareth Peter Lewis. "A Novel Kalman Filter Algorithm Using Stance Detection for an Inertial Navigation System." In Lecture Notes in Electrical Engineering, 1968–76. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_260.
Повний текст джерелаRawiel, Paul. "Positioning of Pedelecs for a Pedelec Sharing System with Free-Floating Bikes." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 51–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_5.
Повний текст джерелаEtzion, Joseph. "Steady-State Time Constant of the Kalman Filter." In Advances in Estimation, Navigation, and Spacecraft Control, 3–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44785-7_1.
Повний текст джерелаUnhelkar, Vaibhav V., and Hari B. Hablani. "Spacecraft Attitude Determination with Sun Sensors, Horizon Sensors and Gyros: Comparison of Steady-State Kalman Filter and Extended Kalman Filter." In Advances in Estimation, Navigation, and Spacecraft Control, 413–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44785-7_22.
Повний текст джерелаContreras, Alberto Mañero, and Chingiz Hajiyev. "Integration of Baro-Inertial-GPS Altimeter via Complementary Kalman Filter." In Advances in Sustainable Aviation, 251–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67134-5_18.
Повний текст джерелаT.N, Ranjan, Arun Nherakkol, and Gajanan Navelkar. "Navigation of Autonomous Underwater Vehicle Using Extended Kalman Filter." In Communications in Computer and Information Science, 1–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15810-0_1.
Повний текст джерелаKulo, Nedim. "Effects of Kalman Filter in Pedestrian Navigation by Smartphone." In Advanced Technologies, Systems, and Applications VII, 581–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17697-5_44.
Повний текст джерелаKamel, Ahmed A., Handol Kim, Dochul Yang, Chulmin Park, and Jin Woo. "Generalized Image Navigation and Registration Method Based on Kalman Filter." In Advances in Aerospace Guidance, Navigation and Control, 609–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65283-2_33.
Повний текст джерелаLi, Jing, Jiande Wu, Junfeng Hou, Yugang Fan, and Xiaodong Wang. "Fault-Tolerant Integrated Navigation Algorithm of the Federal Kalman Filter." In Advances in Intelligent and Soft Computing, 621–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29390-0_99.
Повний текст джерелаТези доповідей конференцій з теми "Inertial navigation; Kalman filter"
Xin, Lu, Hu Bai-qing, Zhang Guang-jun, and Xue Bo-yang. "Robust sequential Kalman filter for inertial integrated." In 2018 IEEE CSAA Guidance, Navigation and Control Conference (GNCC). IEEE, 2018. http://dx.doi.org/10.1109/gncc42960.2018.9018644.
Повний текст джерелаRogers, Robert. "Kalman filter inertial navigation system error model based on filter stability considerations." In Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-3547.
Повний текст джерелаHuang, Xianlin, and Zhenkai Wang. "Adaptive unscented Kalman filter in Inertial Navigation System alignment." In 2011 2nd International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2011. http://dx.doi.org/10.1109/icicip.2011.6008402.
Повний текст джерелаWU, Y., and R. ORNEDO. "Kalman filter formulation for transfer alignment of inertial reference units." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-3364.
Повний текст джерелаHe, Zilu, Xiongzhu Bu, Yihan Cao, and Miaomiao Xu. "An Inertial / Altimetric / Infrared / Geomagnetic Integrated Navigation Method for Unmanned Aerial Vehicles." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10948.
Повний текст джерелаWang, Maosong, Wenqi Wu, Xiaofeng He, and Xianfei Pan. "State Transformation Extended Kalman Filter for SINS based Integrated Navigation System." In 2019 DGON Inertial Sensors and Systems (ISS). IEEE, 2019. http://dx.doi.org/10.1109/iss46986.2019.8943781.
Повний текст джерелаRezaifard, Elahe, and Pouya Abbasi. "Inertial navigation system calibration using GPS based on extended Kalman filter." In 2017 Iranian Conference on Electrical Engineering (ICEE). IEEE, 2017. http://dx.doi.org/10.1109/iraniancee.2017.7985144.
Повний текст джерелаGao Fuquan, Ding Chuanhong, and Liu Jianfeng. "Initial alignment of strap down inertial navigation system using Kalman filter." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5620546.
Повний текст джерелаMourikis, Anastasios I., and Stergios I. Roumeliotis. "A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation." In 2007 IEEE International Conference on Robotics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/robot.2007.364024.
Повний текст джерелаWang, Jun-Hou, and Jia-Bin Chen. "Adaptive unscented Kalman filter for initial alignment of strapdown inertial navigation systems." In 2010 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2010. http://dx.doi.org/10.1109/icmlc.2010.5580847.
Повний текст джерелаЗвіти організацій з теми "Inertial navigation; Kalman filter"
Haak, Jeffrey W. Verification of Robustified Kalman Filters for the Integration of Global Positioning System (GPS) and Inertial Navigation System (INS) Data,. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada288609.
Повний текст джерелаLee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.
Повний текст джерелаKelly, Alonzo. A 3D State Space Formulation of a Navigation Kalman Filter for Autonomous Vehicles. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada282853.
Повний текст джерела