Literatura académica sobre el tema "Kalman filter based tracking loop"
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Artículos de revistas sobre el tema "Kalman filter based tracking loop"
Klokov, Andrey, Motayam Kanouj y Aleksandr Mironchev. "A Novel Carrier Tracking Approach for GPS Signals Based on Gauss–Hermite Kalman Filter". Electronics 11, n.º 14 (15 de julio de 2022): 2215. http://dx.doi.org/10.3390/electronics11142215.
Texto completoLuo, Yu, Yong-qing Wang, Hai-kun Luo, Yuan-xing Ma y Si-liang Wu. "Study on Vector Tracking Loop Based on Extended Kalman Filter". Journal of Electronics & Information Technology 35, n.º 6 (17 de febrero de 2014): 1400–1405. http://dx.doi.org/10.3724/sp.j.1146.2012.00828.
Texto completoCheng, Yan, Qing Chang, Hao Wang y Xianxu Li. "A Two-Stage Kalman Filter-Based Carrier Tracking Loop for Weak GNSS Signals". Sensors 19, n.º 6 (19 de marzo de 2019): 1369. http://dx.doi.org/10.3390/s19061369.
Texto completoDing, Ji Cheng, Lin Zhao, Jia Liu y Shuai He Gao. "An Array Nonlinear Kalman Tracker for Indoor GPS Signal". Applied Mechanics and Materials 44-47 (diciembre de 2010): 3864–68. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3864.
Texto completoZou, Xiaojun, Baowang Lian y Zesheng Dan. "Vector Tracking Algorithm Based on Adaptive Cubature Kalman Filter". Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, n.º 6 (diciembre de 2018): 1108–15. http://dx.doi.org/10.1051/jnwpu/20183661108.
Texto completoZhao, Sihao, Mingquan Lu y Zhenming Feng. "Implementation and Performance Assessment of a Vector Tracking Method Based on a Software GPS Receiver". Journal of Navigation 64, S1 (14 de octubre de 2011): S151—S161. http://dx.doi.org/10.1017/s0373463311000440.
Texto completoYuan, Cao, Ma Lianchuan y Weigang Ma. "Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy". Discrete Dynamics in Nature and Society 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/690576.
Texto completoChen, Shaohua y Yang Gao. "Improvement of Carrier Phase Tracking Based on a Joint Vector Architecture". International Journal of Aerospace Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/9682875.
Texto completoLi, Na, Shufang Zhang y Yi Jiang. "High Dynamic Weak Signal Tracking Algorithm of a Beidou Vector Receiver Based on an Adaptive Square Root Cubature Kalman Filter". Sensors 21, n.º 20 (9 de octubre de 2021): 6707. http://dx.doi.org/10.3390/s21206707.
Texto completoLuo, Y., C. Yu, J. Li y N. El-Sheimy. "PERFORMANCE OF GNSS CARRIER-TRACKING LOOP BASED ON KALMAN FILTER IN A CHALLENGING ENVIRONMENT". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (5 de junio de 2019): 1687–93. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1687-2019.
Texto completoTesis sobre el tema "Kalman filter based tracking loop"
Schrempp, Mark. "Tracking loop design". Thesis, Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1363.
Texto completoChen, Hao. "Kalman Filter Aided Tracking Loop In GPS Signal Spoofing Detection". University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1418909647.
Texto completoLashley, Matthew Bevly David M. Hung John Y. "Kalman filter based tracking algorithms for software GPS receivers". Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Fall/Theses/LASHLEY_MATTHEW_34.pdf.
Texto completoWeigang, Zhao, Yao Tingyan, Wu Jinpei y Zhang Qishan. "SOFT SEAMLESS SWITCHING IN DUAL-LOOP DSP-FLL FOR RAPID ACQUISITION AND TRACKING". International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605319.
Texto completoFLL’s are extensively used for fast carrier synchronization. A common approach to meet the wide acquisition range and sufficiently small tracking error requirements is to adopt the wide or narrow band FLL loop in the acquisition and tracking modes and direct switching the loop. The paper analyze the influence of direct switching on performance, including the narrow band loop convergence, transition time etc. and propose applying the Kalman filtering theory to realize the seamless switching (SS) with time-varying loop gains between the two different loop tracking state. The SS control gains for the high dynamic digital spread spectrum receiver is derived. Simulation results for the SS compared to the direct switching demonstrate the improved performance.
Kanduri, Srinivasa Rangarajan Mukhesh y Vinay Kumar Reddy Medapati. "Evaluation of TDOA based Football Player’s Position Tracking Algorithm using Kalman Filter". Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16433.
Texto completoIsaac, Benson. "Inverse Kinematics and Extended Kalman Filter based Motion Tracking of Human Limb". University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406809906.
Texto completoVadde, Susheel Reddy. "Improving Tissue Elasticity Imaging Using A KALMAN Filter-Based Non-Rigid Motion Tracking Algorithm". Youngstown State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1310141393.
Texto completoVelmurugan, Rajbabu. "Implementation Strategies for Particle Filter based Target Tracking". Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14611.
Texto completoAparicio, Conrado. "Implementation of a quaternion-based Kalman filter for human body motion tracking using MARG sensors". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FAparicio.pdf.
Texto completoJanga, Satyanarayana Reddy. "A Fast and Robust Image-Based Method for tracking Robot-assisted Needle Placement in Real-time MR Images". Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/106.
Texto completoLibros sobre el tema "Kalman filter based tracking loop"
Vaez-Zadeh, Sadegh. Parameter Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0007.
Texto completoCapítulos de libros sobre el tema "Kalman filter based tracking loop"
Gu, Mingxing, Yuan Hu, Minghui Mou, Shengzheng Wang y Wei Liu. "A GNSS Loop Tracking Structure Based on Unscented Kalman Filter". En Lecture Notes in Electrical Engineering, 239–51. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3146-7_23.
Texto completoLi, Bing, Wenfei Guo, Xiaoji Niu, Nesreen I. Ziedan y Jingnan Liu. "Parameters Design Method of Kalman Filter-Based Tracking Loop in GNSS/INS Deep Integration". En China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I, 933–43. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4588-2_79.
Texto completoKumar, Nikhil, Meenakshi Massey y Neeta Kandpal. "Kalman Filter Based Point Target Tracking". En Springer Proceedings in Physics, 373–75. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9259-1_85.
Texto completoCun, Zhang, Zhao Meng, Yu Xue-Lian, Cui Ming-Lei, Zhou Yun y Wang Xue-Gang. "Cubature Kalman Filter Based on Strong Tracking". En Lecture Notes in Electrical Engineering, 131–38. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08991-1_14.
Texto completoWalrand, Jean. "Tracking: B". En Probability in Electrical Engineering and Computer Science, 193–204. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_10.
Texto completoHe, Futong, Jiaqi Zhen y Zhifang Wang. "Video Target Tracking Based on Adaptive Kalman Filter". En Lecture Notes in Electrical Engineering, 1198–201. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_141.
Texto completoKim, Gyuyeong, Hyuntae Kim, Jangsik Park y Yunsik Yu. "Vehicle Tracking Based on Kalman Filter in Tunnel". En Communications in Computer and Information Science, 250–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23141-4_24.
Texto completoZhou, Xingyu, Dongmei Fu, Yanan Shi y Chunhong Wu. "Adaptive Learning Compressive Tracking Based on Kalman Filter". En Lecture Notes in Computer Science, 243–53. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71598-8_22.
Texto completoNg, Yonhon, Yasir Latif, Tat-Jun Chin y Robert Mahony. "Asynchronous Kalman Filter for Event-Based Star Tracking". En Lecture Notes in Computer Science, 66–79. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25056-9_5.
Texto completoZhao, Meng, Xue-lian Yu, Ming-lei Cui, Xue-gang Wang y Jing Wu. "Square Root Unscented Kalman Filter Based on Strong Tracking". En Lecture Notes in Electrical Engineering, 797–804. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08991-1_83.
Texto completoActas de conferencias sobre el tema "Kalman filter based tracking loop"
Wang, Jian, Qianhao Liang, Kun Liang y Wei Shangguan. "A new extended Kalman filter based carrier tracking loop". En 2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE). IEEE, 2009. http://dx.doi.org/10.1109/mape.2009.5355852.
Texto completoWu, Falin, Linjie Yu, Yan Zhao y Haibo Zhong. "Performance analysis of typical Kalman filter based GPS tracking loop". En 2014 IEEE International Conference on Control Science and Systems Engineering (CCSSE). IEEE, 2014. http://dx.doi.org/10.1109/ccsse.2014.7224498.
Texto completoWentong, Wang, Li Chuanjun y Wu jiangxiong. "Performance analysis of a novel kalman filter-based signal tracking loop". En the 2nd International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3141166.3141171.
Texto completoMiao, Jianfeng, Yongrong Sun, Jianye Liu y Wu Chen. "A Kalman Filter Based Tracking Loop in Weak GPS Signal Processing". En 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009. http://dx.doi.org/10.1109/fskd.2009.500.
Texto completoLin, Wenhui, Xin Chen, Yuze Wang y Di He. "The Design of Asynchronous Kalman Filter-based Tracking Loop in Digital Domain". En 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017). Institute of Navigation, 2017. http://dx.doi.org/10.33012/2017.15238.
Texto completoTang, Xinhua, Gianluca Falco, Emanuela Falletti y Letizia Lo Presti. "Practical implementation and performance assessment of an Extended Kalman Filter-based signal tracking loop". En 2013 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2013. http://dx.doi.org/10.1109/icl-gnss.2013.6577275.
Texto completoShen, Jiannan, Xiaowei Cui, Yonghui Zhu y Mingquan Lu. "A Frequency-Compensation Algorithm in Kalman Filter-Based Tracking Loop for High-Dynamics GNSS Receivers". En 2016 International Technical Meeting of The Institute of Navigation. Institute of Navigation, 2016. http://dx.doi.org/10.33012/2016.13442.
Texto completoTu, Zhiyong, Tiejun Lu y Qiliang Chen. "A Novel Carrier Loop Based on Unscented Kalman Filter Methods for Tracking High Dynamic GPS Signals". En 2018 IEEE 18th International Conference on Communication Technology (ICCT). IEEE, 2018. http://dx.doi.org/10.1109/icct.2018.8600110.
Texto completoYan, Zhe, Xiyuan Chen, Xinhua Tang y Xuefen Zhu. "The Implementation and Comparison Between Kalman Filter-based and Vector Tracking Loops". En 2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD). IEEE, 2020. http://dx.doi.org/10.1109/icsmd50554.2020.9261648.
Texto completoRoveda, Loris, Federico Vicentini, Nicola Pedrocchi, Lorenzo Molinari Tosatti y Francesco Braghin. "Development of Impedance Control Based Strategies for Light-Weight Manipulator Applications Involving Compliant Interacting Environments and Compliant Bases". En ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20136.
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