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A heuristic for sigma set selection of UKF
2014 12th International Conference on Signal Processing (ICSP), 2014In this paper we present a higher order moment-matching algorithm for computing the distribution parameters of nonlinear transformation random variables. The new algorithm has two distinct aspects compared to the standard Unscented Kalman Filter (UKF).
Yujin Wang +3 more
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PF-UKF-RJMCMC Approaches for Radar Target-Tracking
2009 International Conference on Information Technology and Computer Science, 2009Nonlinear problem of maneuvering target is a hot and difficult topic in radar target tracking fielding. This paper outline the the pros and cons of non-linear filtering methods nowdays, emphatically analyses uncertainty sampling and random sampling method, describe Markov chain Monte Carlo algorithms, along with Reversible Jump ratio improving methods.
Zhao Huibo, Pan Quan
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An Adaptive UKF Algorithm for Process Fault Prognostics
2009 Second International Conference on Intelligent Computation Technology and Automation, 2009For standard unscented Kalman filters (UKF), the unknown covariance matrices of prior state estimate error, output prediction error and posterior state estimate error propagate recursively through fixed models, which does not consider the actual distribution information of errors.
Yuping Cao, Xuemin Tian
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GPS/SINS Positioning Method Based on Robust UKF
2012 International Conference on Industrial Control and Electronics Engineering, 2012As an improved Unscented Kalman Filtering (UKF) Algorithm, the robust UKF is proposed to solve the positioning accuracy problem of GPS/SINS integrated navigation system used in dynamic environment. The robust estimation theory is applied to the standard UKF algorithm to solve the estimation-error problem in the satellite integrated navigation system ...
Qiuting Wang, Duo Xiao
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EKF and UKF based synchronization of hyperchaotic systems
2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016Noise like yet deterministic behavior of chaotic systems has led the researchers to show a great interest in developing secure communication schemes based on chaotic systems. In the field of secure communication, hyperchotic systems are preferred to traditional chaotic systems because they have more complicated dynamical behavior.
Sharad Mathur, Bharat Bhushan Sharma
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Maneuvering Target Tracking Based on ANFIS and UKF
2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008A maneuvering target tracking algorithm is proposed to overcome the defects of poor filtering precision while using unscented Kalman filter (UKF). The method combines the merits of UKF and adaptive neuro-fuzzy inference system (ANFIS). ANFIS is used to adjust system noise covariance matrix in target tracking system. Fuzzy inference, neural networks and
Anfu Zhu +4 more
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UKF-SLAM Based Gravity Gradient Aided Navigation
2014Considering the two characteristics: (1) simultaneous localization and mapping (SLAM) is a popular algorithm for autonomous underwater robot, but visual SLAM is significantly influenced by weak illumination; (2) geomagnetism-aided navigation and gravity-aided navigation are equally important methods in the field of robot navigation, but both are ...
Meng Wu, Ying Weng
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An adaptive robust UKF initial alignment algorithm
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS), 2022Huaijian Li +3 more
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