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Carrier Tracking Estimation Analysis by Using the Extended Strong Tracking Filtering
IEEE Transactions on Industrial Electronics, 2017When the extended strong tracking filter (ESTF) is used to improve the carrier tracking estimation instead of the extended Kalman filter (EKF), it is found to be difficult to effectively and consistently evaluate superiority of the ESTF than the EKF. The primary cause is that the basic properties of the traditional Kalman filter are broken due to the ...
Quanbo Ge +3 more
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Strong Tracking Finite-Difference Extended Kalman Filtering for Ballistic Target Tracking
2007 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2007This paper studies the problem of tracking a ballistic target in the reentry phase. We propose an adaptive algorithm, strong tracking finite-difference extended Kalman filter (STFDEKF), for ballistic target tracking in reentry. This method uses polynomial approximations obtained with a Sterling interpolation formula to approximate the derivative of the
null Chunling Wu, null Chongzhao Han
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An adaptive Kalman filtering tracking algorithm based on improved strong sracking filter
Proceedings of the 33rd Chinese Control Conference, 2014Adaptive maneuvering target tracking has important significance in the field of target tracking. In this paper, we present an adaptive Kalman filtering tracking algorithm based on improved strong tracking filter (STF). By changing the structure of STF, we apply it to maneuvering target tracking.
Chengcheng Liu, Tao Zhang, Yunze Cai
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The Strong Tracking Innovation Filter
IEEE Transactions on Aerospace and Electronic Systems, 2022Maryam Kiani, Reza Ahmadvand
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Design of adaptive strong tracking and robust Kalman filter
Proceedings of the 33rd Chinese Control Conference, 2014Only the output noise of system can often be measured in practical application. The disturbance of system state is generally unknown. In this case, the effectiveness of the Kalman filter designed is poor, can not be used, and even causes the divergency.
Kangning Song +5 more
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Improved strong tracking filter algorithm for dynamic positioning vessels
2015 34th Chinese Control Conference (CCC), 2015Designing the state observer is to filter the noise of the data in dynamic positioning (DP) system. The state observer can filter out high frequency interference and then estimate the system state information. Here, a kind of state observer of dynamic positioning vessel is designed to estimate vessel states based on improved strong tracking filter ...
Wang Yuanhui +4 more
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Strong Tracking Filter with bandwidth constraint for sensor networks
IEEE ICCA 2010, 2010Limited bandwidth is an unavoidable constraint for the information transmission from local sensors to the estimation center over sensor networks. For a networked target tracking system with single sensor, which consists of a state-vector and an observation-vector, the quantized state estimation is researched under the centralized frame with bandwidth ...
Tingliang Xu +3 more
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A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation
Applied Mechanics and Materials, 2013In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain ...
Yong Qi Wang +3 more
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Square Root Unscented Kalman Filter Based on Strong Tracking
2015To solve the numerical instability in the recursive process of unscented Kalman filter (UKF), as well as the unsatisfactory performance in case of abrupt changes, a new adaptive target tracking method, called square root unscented Kalman filter based on strong tracking (STF–SRUKF), is presented.
Meng Zhao +4 more
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An Improved Strong Tracking Filtering Algorithm
International Journal of Advancements in Computing Technology, 2012DongXu He - +3 more
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