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Md Ruhul Amin, Md Mahbubur Rahman, Mohammad Amazad Hossain, Md Khairul Islam, Kazi Mowdud Ahmed, Bikash Chandra Singh and Md Sipon Miah
In this paper, we proposed the unscented Kalman filter (UKF) based on cooperative spectrum sensing (CSS) scheme in a cognitive radio network (CRN) using an adaptive fuzzy system?in this proposed scheme, firstly, the UKF to apply the nonlinear system whic...
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Xian Wang, Zhengxiang Song, Kun Yang, Xuyang Yin, Yingsan Geng and Jianhua Wang
Lithium-bismuth liquid metal batteries have much potential for stationary energy storage applications, with characteristics such as a large capacity, high energy density, low cost, long life-span and an ability for high current charge and discharge. Howe...
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Asra Nusrat, Yaan Li, Chunyan Cheng, Hafeezullah Qazi and Lingji Xu
This paper considers the problem of tracking a uniform moving source using noisy bearing measurements obtained from a distant observer. Observer trajectory optimization plays a central role in this problem, with the objective to minimize the estimation e...
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Ranzhen Ren, Lichuan Zhang, Lu Liu, Dongwei Wu, Guang Pan, Qiaogao Huang, Yuchen Zhu, Yazhe Liu and Zixiao Zhu
To reduce the cooperative positioning error and improve the navigation accuracy, a single master?slave AUV cooperative navigation method is proposed in this paper, which mainly focuses on planning the optimal path of the master AUV by the time difference...
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Jean Bergeron, Robert Leconte, Mélanie Trudel and Sepehr Farhoodi
An important step when using some data assimilation methods, such as the ensemble Kalman filter and its variants, is to calibrate its parameters. Also called hyper-parameters, these include the model and observation errors, which have previously been sho...
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Doo Yong Choi, Seong-Won Kim, Min-Ah Choi and Zong Woo Geem
Rapid detection of bursts and leaks in water distribution systems (WDSs) can reduce the social and economic costs incurred through direct loss of water into the ground, additional energy demand for water supply, and service interruptions. Many real-time ...
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Doo Yong Choi, Seong-Won Kim, Min-Ah Choi, Zong Woo Geem
Pág. 1 - 12
Rapid detection of bursts and leaks in water distribution systems (WDSs) can reduce the social and economic costs incurred through direct loss of water into the ground, additional energy demand for water supply, and service interruptions. Many real-time ...
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Bingyu Xu, Shuquan Wang, Liping Zhao and Long Zhang
Obtaining the inertia tensors of defunct space objects is essential in on-orbit missions. When the inertia tensor of the space object is non-diagonal, the problem becomes challenging. In this case, the system does not have enough information to estimate ...
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Diana Kalita and Pavel Lyakhov
The task of determining the distance from one object to another is one of the important tasks solved in robotics systems. Conventional algorithms rely on an iterative process of predicting distance estimates, which results in an increased computational b...
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Morgan Louédec and Luc Jaulin
The extended Kalman filter has been shown to be a precise method for nonlinear state estimation and is the facto standard in navigation systems. However, if the initial estimated state is far from the true one, the filter may diverge, mainly due to an in...
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Yanbo Wang, Fasheng Wang, Jianjun He and Fuming Sun
The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems. Incorporating constraints could improve the state estimation ...
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Hong Liu, Qiulong Yang and Kunde Yang
Geoacoustic inversion is an efficient method to study the physical properties and structure of ocean bottom while sequential geoacoustic inversion is a challenging task due to the complexity and non-linearity of the underwater environment. In this paper,...
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Elba Ramos-Ibarra,Eliud Silva
Pág. 401 - 420
Trends and forecasts of the main atmospheric pollutants (O3, SO2, NO2, CO, PM10, PM2.5, NO and NOx) are estimated by regions in the Mexico City Metropolitan Area (MCMA) with maximum daily data from 2008 to 2018. A non-parametric statistical smoothing con...
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Yanting Du, Guangdi Hu, Shun Xiang, Ke Zhang, Hongxing Liu and Feng Guo
In order to estimate the diesel particulate filter (DPF) soot load and improve the accuracy of regeneration timing, a novel method based on an equivalent circuit model is proposed based on the electric-fluid analogy. This proposed method can reduce the i...
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Andrés Mauricio Gómez Sánchez,José Gabriel Astaiza Gómez
Pág. 109 - 129
This article investigates the relationship between ex-post Equity Risk Premium (ERP) on the Colombian stock market and the economic cycles observed in the country using methodologies based on the Hodrick-Prescott and Kalman filters. Accordingly, a short-...
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Feng Lu, Jinquan Huang and Yiqiu Lv
Different approaches for gas path performance estimation of dynamic systems are commonly used, the most common being the variants of the Kalman filter. The extended Kalman filter (EKF) method is a popular approach for nonlinear systems which combines the...
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Mengnan Cao, Yingning Qiu, Yanhui Feng, Hao Wang and Dan Li
Effective wind turbine fault diagnostic algorithms are crucial for wind turbine intelligent condition monitoring. An unscented Kalman filter approach is proposed to successfully detect and isolate two types of gearbox failures of a wind turbine in this p...
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Kenan Liu, Wuyun Zhao, Bugong Sun, Pute Wu, Delan Zhu and Peng Zhang
Autonomous navigation for agricultural machinery has broad and promising development prospects. Kalman filter technology, which can improve positioning accuracy, is widely used in navigation systems in different fields. However, there has not been much r...
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Zhaoming Li, Xinyan Yang, Lei Li and Hang Chen
In order to increase a nonlinear system?s state estimate precision, an iterated orthogonal simplex cubature Kalman filter (IOSCKF) is presented in this study for target tracking. The Gaussian-weighted integral is decomposed into a spherical integral and ...
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Taehoon Lee, Byungjin Lee and Sangkyung Sung
This study proposes an enhanced integration algorithm that combines the magnetic field-based positioning system (MPS?Magnetic Pose Estimation System) with an inertial system with the advantage of an invariant filter structure. Specifically, to mitigate t...
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