Transformer-Based Maneuvering Target Tracking [PDF]
Sensors, 2022 When tracking maneuvering targets, recurrent neural networks (RNNs), especially long short-term memory (LSTM) networks, are widely applied to sequentially capture the motion states of targets from observations. However, LSTMs can only extract features of
Guanghui Zhao +4 more
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Adaptive Interacting Multiple Model Algorithm Based on Information-Weighted Consensus for Maneuvering Target Tracking [PDF]
Sensors, 2018 Networked multiple sensors are used to solve the problem of maneuvering target tracking. To avoid the linearization of nonlinear dynamic functions, and to obtain more accurate estimates for maneuvering targets, a novel adaptive information-weighted ...
Ziran Ding +6 more
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Strong Tracking Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking [PDF]
Sensors, 2017 Conventional spherical simplex-radial cubature Kalman filter (SSRCKF) for maneuvering target tracking may decline in accuracy and even diverge when a target makes abrupt state changes.
Hua Liu, Wen Wu
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Maneuvering Target Tracking Using Simultaneous Optimization and Feedback Learning Algorithm Based on Elman Neural Network [PDF]
Sensors, 2019 Tracking maneuvering targets is a challenging problem for sensors because of the unpredictability of the target’s motion. Unlike classical statistical modeling of target maneuvers, a simultaneous optimization and feedback learning algorithm for ...
Huajun Liu, Liwei Xia, Cailing Wang
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Space Noncooperative Target Trajectory Tracking Based on Maneuvering Parameter Estimation
Space: Science & Technology, 2023 The space noncooperative target maneuvering trajectory tracking is essential for the safety of the on-orbit spacecraft. For the noncooperative target, the maneuvering model is complex and changeable. Besides, the maneuvering dynamics model, the operation
Ruifeng Li +5 more
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An Adaptive Cubature Kalman Filter for Target Tracking [PDF]
Journal of Electrical and Computer Engineering Innovations, 2022 Background and Objectives:The target tracking problem is an essential component of many engineering applications.The extended Kalman filter (EKF) is one of the most well-known suboptimal filter to solve target tracking.
R. Havangi
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Sensors, 2022 Since the passive sensor has the property that it does not radiate signals, the use of passive sensors for target tracking is beneficial to improve the low probability of intercept (LPI) performance of the combat platform.
Lei Wei +4 more
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An improved dynamic programming tracking-before-detection algorithm based on LSTM network
EURASIP Journal on Advances in Signal Processing, 2023 The detection and tracking of small and weak maneuvering radar targets in complex electromagnetic environments is still a difficult problem to effectively solve. To address this problem, this paper proposes a dynamic programming tracking-before-detection
Fei Song +3 more
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3D Turning Target Tracking Method Based on Particle Filter [PDF]
Hangkong bingqi, 2022 In order to improve the tracking accuracy of turning targets, a 3D turning target tracking method based on particle filter is proposed. Aiming at the HGB maneuvering target in 3D space, this article first proposes a 3D turning motion model and ...
Feng Yaqiang, Song Long, Zhang Gongping
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A PCR-BIMM filter for maneuvering target tracking [PDF]
2010 13th International Conference on Information Fusion, 2010 In this paper we show how to correct and improve the Belief Interacting Multiple Model filter (BIMM) proposed in 2009 by Nassreddine et al. for tracking maneuvering targets.
Jean Dezert, Benjamin Pannetier
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