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Xiaohua Tong, Runjie Wang, Wenzhong Shi and Zhiyuan Li
Mathematically describing the physical process of a sequential data assimilation system perfectly is difficult and inevitably results in errors in the assimilation model. Filter divergence is a common phenomenon because of model inaccuracies and affects ...
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Hanxue Zhang, Chong Shen, Xuemei Chen, Huiliang Cao, Donghua Zhao, Haoqian Huang and Xiaoting Guo
In this paper, we present a radial basis function (RBF) and cubature Kalman filter (CKF) based enhanced fusion strategy for vision and inertial integrated attitude measurement for sampling frequency discrepancy and divergence. First, the multi-frequency ...
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Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias and Antonio G. Ravelo-García
This study presents a novel approach for kernel selection based on Kullback?Leibler divergence in variational autoencoders using features generated by the convolutional encoder. The proposed methodology focuses on identifying the most relevant subset of ...
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Yuexing Zhang, Yiping Li, Shuo Li, Junbao Zeng, Yiqun Wang and Shuxue Yan
This paper proposes a centralized MTT method based on a state-of-the-art multi-sensor labeled multi-Bernoulli (LMB) filter in underwater multi-static networks with autonomous underwater vehicles (AUVs). The LMB filter can accurately extract the number of...
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Zhenxin Zhang, Meng Zhang, Guoxi Li, Shilong Qin and Chunxiao Xu
The actuator, which generally consists of motors, electrical regulations, and propellers, is the key component of the quadrotor Unmanned Aerial Vehicle. During the operation of the UAV, actuators are prone to degrade performance and even cause serious fa...
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Tiantian Huang, Hui Jiang, Zhuoyang Zou, Lingyun Ye and Kaichen Song
In order to solve the problems of filtering divergence and low accuracy in Kalman filter (KF) applications in a high-speed unmanned aerial vehicle (UAV), this paper proposed a new method of integrated robust adaptive Kalman filter: strong adaptive Kalman...
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Sangwei Lu, Wenxiang Zhou, Jinquan Huang, Feng Lu and Zhongguang Chen
Aero-engines are faced with severe challenges of availability and reliability in the increasing operation, and traditional gas path filtering diagnostic methods have limitations restricted by various factors such as strong nonlinearity of the system and ...
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Ping Dong, Jianhua Cheng and Liqiang Liu
In this paper, a novel anti-jamming technique based on black box variational inference for INS/GNSS integration with time-varying measurement noise covariance matrices is presented. We proved that the time-varying measurement noise is more similar to the...
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Martin Pontuschka,Marcelo Scherer Perlin
Pág. 353?374
In this article we seek to verify the dynamics of financial integration between the Brazilian and the Argentinian stock index. We estimate a state space model by Kalman filter, which allowed the observation of the dynamics of the financial integration ov...
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Yanqiu Gao
The ensemble Kalman filter is often used in parameter estimation, which plays an essential role in reducing model errors. However, filter divergence is often encountered in an estimation process, resulting in the convergence of parameters to the improper...
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Pengcheng Mu, Xin Zhang, Ping Qin and Bo He
Simultaneous Localization and Mapping (SLAM) is a well-known solution for mapping and realizing autonomous navigation of an Autonomous Underwater Vehicle (AUV) in unknown underwater environments. However, the inaccurate time-varying observation noise wil...
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Oleg Bazaluk, Alim Ennan, Serhii Cheberiachko, Oleh Deryugin, Yurii Cheberiachko, Pavlo Saik, Vasyl Lozynskyi and Ivan Knysh
In this paper, a solution to the problem of the change in the pressure drop in a respirator filter during cyclic air motion is suggested since the current theory of filtering is based on steady-flow processes. The theoretical dependence of the pressure d...
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Yilin Liu, Ruochen Liu, Ruihang Yu, Zhiming Xiong, Yan Guo, Shaokun Cai and Pengfei Jiang
To reduce costs, an unmanned swarm usually consists of nodes with high-accuracy navigation sensors (HAN) and nodes with low-accuracy navigation sensors (LAN). Transmitting and fusing the navigation information obtained by HANs enables LANs to improve the...
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