Results 21 to 30 of about 94,605 (282)

A Federated Derivative Cubature Kalman Filter for IMU-UWB Indoor Positioning

Sensors, 2020
The inertial measurement unit and ultra-wide band signal (IMU-UWB) combined indoor positioning system has a nonlinear state equation and a linear measurement equation.
Chengyang He, Chao Tang, Chengpu Yu
doaj   +1 more source

Measurement Noise Recommendation for Efficient Kalman Filtering over a Large Amount of Sensor Data

Sensors, 2019
To effectively maintain and analyze a large amount of real-time sensor data, one often uses a filtering technique that reflects characteristics of original data well.
Sebin Park, Myeong-Seon Gil, Hyeonseung Im, Yang-Sae Moon   +3 more
doaj   +1 more source

Bayesian Nonlinear Filtering via Information Geometric Optimization

Entropy, 2017
In this paper, Bayesian nonlinear filtering is considered from the viewpoint of information geometry and a novel filtering method is proposed based on information geometric optimization.
Yubo Li, Yongqiang Cheng, Xiang Li, Hongqiang Wang, Xiaoqiang Hua, Yuliang Qin   +5 more
doaj   +1 more source

A Study on Sensor System Latency in VR Motion Sickness

Journal of Sensor and Actuator Networks, 2021
One of the most frequent technical factors affecting Virtual Reality (VR) performance and causing motion sickness is system latency. In this paper, we adopted predictive algorithms (i.e., Dead Reckoning, Kalman Filtering, and Deep Learning algorithms) to
Ripan Kumar Kundu, Akhlaqur Rahman, Shuva Paul   +2 more
doaj   +1 more source

Processing and filtering analysis of navigation data of underground strapdown inertial navigation system

Gong-kuang zidonghua, 2014
In view of problems of large errors and low accuracy of positioning technology in coal mine, the strapdown inertial navigation system was introduced into coal mine personnel and equipment for precise positioning and navigation.
LIU Xiaowen, WANG Cun, WANG Long
doaj   +1 more source

Deterministic Mean-field Ensemble Kalman Filtering [PDF]

, 2016
The proof of convergence of the standard ensemble Kalman filter (EnKF) from Legland etal. (2011) is extended to non-Gaussian state space models. A density-based deterministic approximation of the mean-field limit EnKF (DMFEnKF) is proposed, consisting of
Law, Kody J. H., Tembine, Hamidou, Tempone, Raul   +2 more
core   +2 more sources

Kalman Filter for Noise Reduction in Aerial Vehicles using Echoic Flow [PDF]

, 2020
Echolocation is a natural phenomenon observed in bats that allows them to navigate complex, dim environments with enough precision to capture insects in midair.
Palo, Andrew
core  

A Review of Nonlinear Filtering Algorithms in Integrated Navigation Systems

Sensors
Nonlinear filtering algorithms have significant implications in the optimal estimation of navigation states and in improving the accuracy, reliability, and robustness of navigation systems.
Jiaqian Si, Yanxiong Niu, Botao Wang
doaj   +1 more source

A Novel Filtering Algorithm of Data Acquisition for Electrical Capacitance Tomography

Journal of Harbin University of Science and Technology, 2018
On the basis of analyzing the filtering algorithm of ECT data acquisition system，according to the characteristics of Kalman filter and wavelet transform，a filtering algorithm based on the characteristics of Kalman filtering and wavelet transform is ...
YANG Ting, CHEN De-yun, WANG Li-li
doaj   +1 more source

Kalman-Takens filtering in the presence of dynamical noise

, 2016
The use of data assimilation for the merging of observed data with dynamical models is becoming standard in modern physics. If a parametric model is known, methods such as Kalman filtering have been developed for this purpose.
Berry, Tyrus, Hamilton, Franz, Sauer, Timothy   +2 more
core   +1 more source