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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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Shijun Chen, Xin Xiong, Yuanqiao Wen, Jiaxin Jian and Yamin Huang
With the development of emerging techniques, maritime autonomous surface ships (MASS) have attracted much attention, and the remote control ships? future seems promising. However, due to communication issues, ship?shore transmission faces the challenge o...
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Ying Wang, Hongjian Wang, Qing Li, Yao Xiao and Xicheng Ban
At present, the tracking accuracy of underwater passive target tracking is often limited due to models that are overly simple, with low complexity, poor universality, and an inability to learn. In this paper, a cubature Kalman filter (CKF) algorithm base...
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Yudong Hu, Changsheng Gao and Wuxing Jing
Aimed at joint state and parameter estimation problems in hypersonic glide vehicle defense, a novel moving horizon estimation algorithm via Carleman linearization is developed in this paper. First, the maneuver characteristic parameters that reflect the ...
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Wei Jiang, Yongxi Lyu and Jingping Shi
This paper proposes an approach of target tracking of a ground target for UAVs using Optimal Two-Stage Cubature Kalman Filter and Improved Coordinated Lateral Guidance Law. Firstly, the Optimal Two-Stage Cubature Kalman Filter (OTSCKF) is proposed to est...
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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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