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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Migration through Resolution Cell Correction and Sparse Aperture ISAR Imaging for Maneuvering Target Based on Whale Optimization Algorithm—Fast Iterative Shrinkage Thresholding Algorithm [PDF]
SensorsTargets faced by inverse synthetic aperture radar (ISAR) are often non-cooperative, with target maneuvering being the main manifestation of this non-cooperation.
Xinrong Guo, Fengkai Liu, Darong Huang
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Study on Maneuvering Target On-axis Tracking Algorithm of Modified Current Statistical Model [PDF]
MATEC Web of Conferences, 2018 Aiming at the model adaptability and the filter precision on the maneuvering target on-axis tracking, The paper put forward a filter algorithm based on modified current statistical model.
Zhenkai Xiong, Fanying Li, Lei Zhang
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Impact-Angle and Terminal-Maneuvering-Acceleration Constrained Guidance against Maneuvering Target [PDF]
Aerospace, 2021 A new, highly constrained guidance law is proposed against a maneuvering target while satisfying both impact angle and terminal acceleration constraints.
Wanqing Zhang, Wanchun Chen, Wenbin Yu
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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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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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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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A track-before-detect algorithm based on dynamic programming for maneuvering target detection
Dianzi Jishu Yingyong, 2018 Due to traditional dynamic programming approach is only suitable for constant velocity motion target or slow maneuvering target，an algorithm using interacting multiple model(IMM) filter incorporated with track-before-detect approach is proposed for ...
Gao Jie1, +3 more
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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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A multi-platform bearing-only target steering maneuver detection algorithm based on heading estimation [PDF]
Zhihui kongzhi yu fangzhen, 2023 Aiming at the problem of bearing-only target steering maneuver detection, a multi-platform bearing-only target maneuver detection algorithm based on heading estimation is proposed.
LI Yanhao, YUAN Fuyu
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