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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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Pu Huang, Hengnian Li, Guangwei Wen and Zhaokui Wang
An adaptive weighted strong tracking unscented Kalman filter is proposed in this paper for long-range relative navigation alongside non-cooperative maneuvering targets. First, an equation for obtaining the relative motion of two bodies is derived, it can...
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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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Bing Hua, Xiaosong Wei, Yunhua Wu and Zhiming Chen
The velocity and acceleration of geostationary transfer orbit (GTO) satellites change dramatically and periodically, and the operating area extends from hundreds of kilometers to 36,000 km above the Earth?s surface. This leads to the limitation of naviga...
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Shijin Li, Shubi Zhang, Tao Li, Yandong Gao, Qianfu Chen and Xiang Zhang
Interferometric synthetic aperture radar (InSAR) is one of the best methods for obtaining digital elevation models (DEMs). However, the problem of the uncertainty of DEM accuracy affected by the perpendicular baseline still persists, which should be as l...
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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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Jian Wang, Andong Hu, Xin Li and Yan Wang
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Yong Tian, Bizhong Xia, Mingwang Wang, Wei Sun and Zhihui Xu
State of charge (SOC) estimation is essential to battery management systems in electric vehicles (EVs) to ensure the safe operations of batteries and providing drivers with the remaining range of the EVs. A number of estimation algorithms have been devel...
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Yong Tian, Chaoren Chen, Bizhong Xia, Wei Sun, Zhihui Xu and Weiwei Zheng
The state of charge (SOC) is important for the safety and reliability of battery operation since it indicates the remaining capacity of a battery. However, it is difficult to get an accurate value of SOC, because the SOC cannot be di...
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Zhiwei He, Mingyu Gao, Caisheng Wang, Leyi Wang and Yuanyuan Liu
Accurate estimation of the state of charge (SOC) of batteries is one of the key problems in a battery management system. This paper proposes an adaptive SOC estimation method based on unscented Kalman filter algorithms for lithium (Li)-ion batteries. Fir...
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