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Publication search results
found 49 matches
- 2024
- Niharika Deshpande, Hyoshin Park:
Physics-Informed Deep Learning with Kalman Filter Mixture: A New State Prediction Model. CISS 2024: 1-6 - 2023
- Artjom Lind, Shan Wu, Amnir Hadachi:
Application of Gaussian Mixtures in a Multimodal Kalman Filter to Estimate the State of a Nonlinearly Moving System Using Sparse Inaccurate Measurements in a Cellular Radio Network. Sensors 23(7): 3603 (2023) - Hongpo Fu, Wei Huang, Zhenwei Li, Yongmei Cheng, Tianyi Zhang:
Robust Cubature Kalman Filter With Gaussian-Multivariate Laplacian Mixture Distribution and Partial Variational Bayesian Method. IEEE Trans. Signal Process. 71: 847-858 (2023) - 2022
- Xuyou Li, Yanda Guo, Qingwen Meng:
Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise. Entropy 24(1): 117 (2022) - Jakob Thumm, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck, Merle Flitter, Georg Maier, Robin Gruna, Thomas Längle, Albert Bauer, Harald Kruggel-Emden:
Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting. IEEE Trans. Ind. Informatics 18(6): 3724-3733 (2022) - Haiquan Zhao, Boyu Tian:
Robust Power System Forecasting-Aided State Estimation With Generalized Maximum Mixture Correntropy Unscented Kalman Filter. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - Mingming Bai, Yulong Huang, Badong Chen, Yonggang Zhang:
A Novel Robust Kalman Filtering Framework Based on Normal-Skew Mixture Distribution. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6789-6805 (2022) - 2021
- Kaiqiang Feng, Jie Li, Debiao Zhang, Xiaokai Wei, Jianping Yin:
Robust Central Difference Kalman Filter With Mixture Correntropy: A Case Study for Integrated Navigation. IEEE Access 9: 80772-80786 (2021) - Ahmed Abdulwahab Tayeb, Rabah Wasel Aldhaheri, Shehzad Muhammad Hanif:
Vehicle Speed Estimation Using Gaussian Mixture Model and Kalman Filter. Int. J. Comput. Commun. Control 16(4) (2021) - Yulong Huang, Yonggang Zhang, Peng Shi, Jonathon A. Chambers:
Variational Adaptive Kalman Filter With Gaussian-Inverse-Wishart Mixture Distribution. IEEE Trans. Autom. Control. 66(4): 1786-1793 (2021) - Chunguang Lu, Yongshun Zhang, Qichao Ge:
Kalman Filter Based on Multiple Scaled Multivariate Skew Normal Variance Mean Mixture Distributions With Application to Target Tracking. IEEE Trans. Circuits Syst. II Express Briefs 68(2): 802-806 (2021) - Mingming Bai, Yulong Huang, Yonggang Zhang, Feng Chen:
A Novel Heavy-Tailed Mixture Distribution Based Robust Kalman Filter for Cooperative Localization. IEEE Trans. Ind. Informatics 17(5): 3671-3681 (2021) - Hongpo Fu, Yongmei Cheng, Cheng Cheng:
A Gaussian-inverse Gamma mixture Distributions and Expectation-Maximization Based Robust Kalman Filter. FUSION 2021: 1-7 - Kolja Thormann, Shishan Yang, Marcus Baum:
Kalman Filter Based Extended Object Tracking with a Gaussian Mixture Spatial Distribution Model. IV Workshops 2021: 293-298 - 2020
- Hongjian Wang, Ying Wang, Cun Li, Juan Li, Qing Li, Xicheng Ban:
Adaptive Weight Update Algorithm for Target Tracking of UUV Based on Improved Gaussian Mixture Cubature Kalman Filter. Complex. 2020: 7828050:1-7828050:12 (2020) - Hongwei Wang, Wei Zhang, Junyi Zuo, Heping Wang:
Outlier-robust Kalman filters with mixture correntropy. J. Frankl. Inst. 357(8): 5058-5072 (2020) - Karl Berntorp, Avishai Weiss, Stefano Di Cairano:
Integer Ambiguity Resolution by Mixture Kalman Filter for Improved GNSS Precision. IEEE Trans. Aerosp. Electron. Syst. 56(4): 3170-3181 (2020) - Mathieu Brunot:
A Gaussian Uniform Mixture Model for Robust Kalman Filtering. IEEE Trans. Aerosp. Electron. Syst. 56(4): 2656-2665 (2020) - Hao Zhang, Xue Zhou, Zhuping Wang, Huaicheng Yan:
Maneuvering Target Tracking With Event-Based Mixture Kalman Filter in Mobile Sensor Networks. IEEE Trans. Cybern. 50(10): 4346-4357 (2020) - Marcus Greiff, Karl Berntorp:
Optimal Measurement Projections with Adaptive Mixture Kalman Filtering for GNSS Positioning. ACC 2020: 4435-4441 - 2019
- Yulong Huang, Yonggang Zhang, Peng Shi, Zhemin Wu, Junhui Qian, Jonathon A. Chambers:
Robust Kalman Filters Based on Gaussian Scale Mixture Distributions With Application to Target Tracking. IEEE Trans. Syst. Man Cybern. Syst. 49(10): 2082-2096 (2019) - Yulong Huang, Yonggang Zhang, Yuxin Zhao, Jonathon A. Chambers:
A Novel Robust Gaussian-Student's t Mixture Distribution Based Kalman Filter. IEEE Trans. Signal Process. 67(13): 3606-3620 (2019) - Niels von Stein, Jonas Schulte-Coerne, Stephan M. Jonas, Ekaterina Kutafina:
Robust Comparison of Simultaneous EEG Recordings Using Kalman Filters and Gaussian Mixture Models. dHealth 2019: 113-120 - Ramon G. Garcia, Jonen Lery L. Ibanez, Flordeliza L. Valiente, Jeffrey T. Macadangdang, John Edward G. Macario, Charmaine C. Paglinawan, Paola Jamie V. Uy:
Identification of Various Osteichthyes Class of Fishes Through Gaussian Mixture Model, Kalman Filter, Pyramid Histogram of Visual Words and Support Vector Machine. ICBET 2019: 210-216 - 2018
- Karl Berntorp, Avishai Weiss, Stefano Di Cairano:
GNSS Ambiguity Resolution by Adaptive Mixture Kalman Filter. FUSION 2018: 1-5 - Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Dynamic Multi-Rater Gaussian Mixture Regression Incorporating Temporal Dependencies of Emotion Uncertainty Using Kalman Filters. ICASSP 2018: 4929-4933 - 2017
- Rami Alkhawaji, Mohamed H. Sedky, Abdel Hamid Soliman:
Illegal Parking Detection Using Gaussian Mixture Model and Kalman Filter. AICCSA 2017: 840-847 - Debdipta Goswami, Derek A. Paley:
Non-gaussian estimation and observer-based feedback using the Gaussian Mixture Kalman and Extended Kalman Filters. ACC 2017: 4550-4555 - 2016
- Yihua Yu:
Consensus-Based Distributed Mixture Kalman Filter for Maneuvering Target Tracking in Wireless Sensor Networks. IEEE Trans. Veh. Technol. 65(10): 8669-8681 (2016) - 2015
- Felix Govaers, Wolfgang Koch, Peter Willett:
Gaussian-mixture based ensemble Kalman filter. FUSION 2015: 1625-1632
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