Results 31 to 40 of about 7,693 (163)

Kalman filtering with adversarial corruptions

Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022
57 pages, comments ...
Chen, Sitan, Koehler, Frederic, Moitra, Ankur, Yau, Morris   +3 more
openaire   +3 more sources

Nonlinear Extended Kalman Filter for Attitude Estimation of the Fixed-Wing UAV

International Journal of Optics, 2022
Flying vehicle’s navigation, direction, and control in real-time results in the design of a strap-down inertial navigation system (INS). The strategy results in low accuracy, performance with correctness.
Tang Xiaoqian, Zhao Feicheng, Tang Zhengbing, Wang Hongying   +3 more
doaj   +1 more source

Robust Filtering for Linear State-space Models with Non-propagating Outliers Following a Mixture of Gaussian Distributions

Austrian Journal of Statistics
The problem of recursive filtering in linear state-space models is considered. The solution to this problem is the classical Kalman filter which is optimal in the sense that it minimizes the variance of the estimated states, if the error processes of ...
Bernhard Spangl
doaj   +1 more source

Distributed Kalman Filtering

, 2013
Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Subhro Das, José M. F. Moura
openaire   +3 more sources

Enhanced Navigation Accuracy Using Nonlinear Kalman Filters in INS/GPS Integration

Majlesi Journal of Electrical Engineering
This study explores the challenges of error accumulation in inertial navigation systems (INS) and presents a solution to enhance navigation accuracy.
Mohammadreza Mollaei, Mohsen Shafieirad, Elahe Moradi   +2 more
doaj   +1 more source

Comparison of extended and ensemble based Kalman filters with low and high resolution primitive equation ocean models [PDF]

Nonlinear Processes in Geophysics, 2005
Kalman filters are widely used for data assimilation into ocean models. The aim of this study is to discuss the relevance of these filters with high resolution ocean models. This was investigated through the comparison of two advanced Kalman filters: the
I. Hoteit, G. Korres, G. Triantafyllou
doaj  

Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study

Sensors, 2018
Bayes filters, such as the Kalman and particle filters, have been used in sensor fusion to integrate two sources of information and obtain the best estimate of unknowns. The efficient integration of multiple sensors requires deep knowledge of their error
Siavash Hosseinyalamdary
doaj   +1 more source

Autodifferentiable Ensemble Kalman Filters

SIAM Journal on Mathematics of Data Science, 2022
Data assimilation is concerned with sequentially estimating a temporally-evolving state. This task, which arises in a wide range of scientific and engineering applications, is particularly challenging when the state is high-dimensional and the state-space dynamics are unknown.
Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett   +2 more
openaire   +3 more sources

Parallelized Kalman Filters for Mitigation of the Excess Phase Noise of Fast Tunable Lasers in Coherent Optical Communication Systems

IEEE Photonics Journal, 2018
Numerical and experimental investigations are carried out on the performance of parallelized Kalman filters applied for mitigation of the excess phase noise of fast tunable lasers.
Fan Liu, Yi Lin, Yonglin Yu, Liam P. Barry   +3 more
doaj   +1 more source

Analysis and Forecast of the Number of Deaths, Recovered Cases, and Confirmed Cases From COVID-19 for the Top Four Affected Countries Using Kalman Filter

Frontiers in Physics, 2021
COVID-19 is a virus that spread globally, causing severe health complications and substantial economic impact in various parts of the world. The COVID-19 forecast on infections is significant and crucial information that will help in executing policies ...
Abdullah Ali H. Ahmadini, Muhammad Naeem, Muhammad Naeem, Muhammad Aamir, Raimi Dewan, Raimi Dewan, Shokrya Saleh A. Alshqaq, Wali Khan Mashwani   +7 more
doaj   +1 more source