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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Digital Twins Based Intelligent State Prediction Method for Maneuvering-Target Tracking [PDF]
IEEE Journal on Selected Areas in Communications, 2023 Maneuvering-target tracking has always been an important and challenge work because the unknown and changeable motion-models can easily lead to the failure of model-driven target tracking. Recently, many neural network methods are proposed to improve the
Jingxian Liu, Junjie Yan, Dehuan Wan
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Remote Sensing, 2023 During the process of maneuvering target tracking, the measurement may be disturbed by outliers, which leads to a decrease in the state estimation performance of the classic interacting multiple-model (IMM) filter.
Liangliang Huai +4 more
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Maneuvering target tracking of UAV based on MN-DDPG and transfer learning
Defence Technology, 2021 Tracking maneuvering target in real time autonomously and accurately in an uncertain environment is one of the challenging missions for unmanned aerial vehicles (UAVs).
Bo Li +4 more
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High maneuvering target tracking ATPM-IMM algorithm [PDF]
Tongxin xuebao, 2022 For high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update ...
Hao ZENG, Wangqiang MU, Shunping YANG
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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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Joint Adaptive Sampling Interval and Power Allocation for Maneuvering Target Tracking in a Multiple Opportunistic Array Radar System. [PDF]
Sensors (Basel), 2020 In this paper, a joint adaptive sampling interval and power allocation (JASIPA) scheme based on chance-constraint programming (CCP) is proposed for maneuvering target tracking (MTT) in a multiple opportunistic array radar (OAR) system.
Han Q, Pan M, Long W, Liang Z, Shan C.
europepmc +2 more sources