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Marco Sabatini and Giovanni B. Palmerini
This paper investigates the performance of the forthcoming lunar navigation satellite systems for estimating not only the position of an onboard receiver in a lunar inertial reference frame but also, and with a consistent accuracy, the relative position ...
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Xuejia Wu, Zhong Su, Lei Li and Zekun Bai
To address the issue of low positioning accuracy in unmanned vehicles navigating in obstructed spaces due to easily contaminated navigation measurement information, an improved adaptive federated Kalman filtering INS/GNSS/VNS integrated navigation algori...
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Bokyu Kwon and Sang-il Kim
In this paper, the recursive form of an optimal finite impulse response filter is proposed for discrete time-varying state-space models. The recursive form of the finite impulse response filter is derived by employing finite horizon Kalman filtering with...
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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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Salvatore Rosario Bassolillo, Egidio D?Amato, Immacolata Notaro, Gennaro Ariante, Giuseppe Del Core and Massimiliano Mattei
In recent years the use of Unmanned Aerial Vehicles (UAVs) has considerably grown in the civil sectors, due to their high flexibility of use. Currently, two important key points are making them more and more successful in the civil field, namely the decr...
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Haojing Shen, Haksu Lee and Dong-Jun Seo
Kalman filter (KF) and its variants and extensions are wildly used for hydrologic prediction in environmental science and engineering. In many data assimilation applications of Kalman filter (KF) and its variants and extensions, accurate estimation of ex...
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Maofa Wang, Chuzhen Xu, Chuanping Zhou, Youping Gong and Baochun Qiu
In the marine environment, underwater targets are often affected by interference from other targets and environmental fluctuations, so traditional target tracking methods are difficult to use for tracking underwater targets stably and accurately. Among t...
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Junkang Wu, Zuqiong Zhang, Shenglan Zhang, Zhenwu Kuang and Lieping Zhang
To reduce the influence of non-line-of-sight (NLOS) errors in the ultra-wideband (UWB) positioning process, a UWB positioning algorithm based on fuzzy inference and adaptive anti-NLOS Kalman filtering (KF) was proposed in this paper. First of all, the NL...
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Abulasad Elgamoudi, Hamza Benzerrouk, G. Arul Elango and René Landry, Jr.
A single Radio-Frequency Interference (RFI) is a disturbance source of modern wireless systems depending on Global Navigation Satellite Systems (GNSS) and Satellite Communication (SatCom). In particular, significant applications such as aeronautics and s...
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Xinchun Zhang, Ximin Cui and Bo Huang
The detection of track geometry parameters is essential for the safety of high-speed railway operation. To improve the accuracy and efficiency of the state detector of track geometry parameters, in this study we propose an inertial GNSS odometer integrat...
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Andreas Rauh
The electric power characteristic of solid oxide fuel cells (SOFCs) depends on numerous influencing factors. These are the mass flow of supplied hydrogen, the temperature distribution in the interior of the fuel cell stack, the temperatures of the suppli...
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Liqing Zhou, Henry Leung, Peng Xu, Guobao Ru, Quansheng Zhao and Da Xu
Multi-user detection is an effective method to reduce multiple access interference in code division multiple access (CDMA) systems. This paper discusses a signal subspace based blind adaptive multiuser detector and a Kalman filtering blind adaptive multi...
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Liqing Zhou, Henry Leung, Peng Xu, Guobao Ru, Quansheng Zhao and Da Xu
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Denis Selimovic, Jonatan Lerga, Jasna Prpic-Or?ic and Sasa Kenji
Various operations at sea, such as maintaining a constant ship position and direction, require a complex control system. Under such conditions, the ship needs an efficient positioning technique. Dynamic positioning (DP) systems provide such an applicatio...
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Waldemar Kaminski and Karolina Makowska
The article discusses the issue of hydrostatic leveling. Its application is presented in structural health monitoring systems in order to determine vertical displacements of controlled points. Moreover, the article includes a complete computation scheme ...
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Hamza Benzerrouk, Alexander Nebylov and Meng Li
Multi-Unmanned Aerial Vehicle (UAV) Doppler-based target tracking has not been widely investigated, specifically when using modern nonlinear information filters. A high-degree Gauss?Hermite information filter, as well as a seventh-degree cubature informa...
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Hamza Benzerrouk, Alexander Nebylov and Meng Li
Multi-Unmanned Aerial Vehicle (UAV) Doppler-based target tracking has not been widely investigated, specifically when using modern nonlinear information filters. A high-degree Gauss?Hermite information filter, as well as a seventh-degree cubature informa...
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Caiping Zhang, Jiuchun Jiang, Weige Zhang and Suleiman M. Sharkh
A robust extended Kalman filter (EKF) is proposed as a method for estimation of the state of charge (SOC) of lithium-ion batteries used in hybrid electric vehicles (HEVs). An equivalent circuit model of the battery, including its electromotive force (EMF...
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Seokwon Yeom and In-Jun Cho
Small unmanned aircraft vehicles (SUAVs) or drones are very useful for visual detection and tracking due to their efficiency in capturing scenes. This paper addresses the detection and tracking of moving pedestrians with an SUAV. The detection step consi...
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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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