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Performance bounds of extended target tracking in cluttered environments
Science China Information Sciences, 2012In this paper, we consider the problem of the performance bound of a nonlinear filtering problem corresponding to tracking an extended target in cluttered environments (i.e., with false alarms and missed detections). The high resolution sensor obtains the measurements of the position and the extent of the extended target whose shape is modeled by an ...
Huadong Meng, Zhiwen Zhong, Xiqin Wang
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Distributed tracking of extended targets using random matrices
2015 54th IEEE Conference on Decision and Control (CDC), 2015This paper studies the problem of extended target tracking using multiple sensors in a distributed manner. The approach of using a random matrix for the target extension is used. The weighted Kullback-Leibler divergence is applied to fuse sensor-based estimates via exchanging information among neighboring sensors. It is shown that closed form solutions
Wenling Li +3 more
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ANALYSIS AND IMPLEMENTATION OF A NEURAL EXTENDED KALMAN FILTER FOR TARGET TRACKING
International Journal of Neural Systems, 2006Having a better motion model in the state estimator is one way to improve target tracking performance. Since the motion model of the target is not known a priori, either robust modeling techniques or adaptive modeling techniques are required. The neural extended Kalman filter is a technique that learns unmodeled dynamics while performing state ...
Kathleen A. Kramer, Stephen C. Stubberud
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Possibilistic Bernoulli Filter for Extended Target Tracking
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023Zhijin Chen +2 more
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On improved Bernoulli filter for extended target tracking
2017 36th Chinese Control Conference (CCC), 2017The extended target tracking (ETT) is widely used in various surveillance applications. In order to improve tracking accuracy and filtering efficiency of the existing Bernoulli filters, we present an improved Bernoulli filter in this paper. Firstly, the filtering equations of the proposed filter are analytically derived.
Bo Li, Shuo Wang
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An Adaptive Iterated Extended Kalman Filter for Target Tracking
2018For the iterated extended Kalman filter (IEKF) in target tracking, the system model and noise estimation are always uncertain. In view of these problems, an improved adaptive iterated extended Kalman filter is proposed. The new algorithm is based on IEKF, combines the improved strong tracking filter to make it more fitting the maneuvering target ...
Chunman Yan +5 more
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Multi-Frame Track-Before-Detect for Scalable Extended Target Tracking
2022 25th International Conference on Information Fusion (FUSION), 2022Desheng Zhang +5 more
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A Multiple Hypothesis Approach to Extended Target Tracking
2019 22th International Conference on Information Fusion (FUSION), 2019Jean-François Bariant +3 more
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3D Extended Target Tracking and Shape Modeling in Clutter
2021 International Conference on Control, Automation and Information Sciences (ICCAIS), 2021Xiaojun Yang, Hongge Mao
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Loopy belief propagation based data association for extended target tracking
Chinese Journal of Aeronautics, 2020Hongbing Ji, Yongquan Zhang
exaly

