Results 1 to 10 of about 7,194 (203)

Transformer-Based Maneuvering Target Tracking [PDF]

open access: yesSensors, 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
doaj   +4 more sources

Adaptive Interacting Multiple Model Algorithm Based on Information-Weighted Consensus for Maneuvering Target Tracking [PDF]

open access: goldSensors, 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
doaj   +4 more sources

Angle-Only Filtering of a Maneuvering Target in 3D. [PDF]

open access: yesSensors (Basel), 2022
We consider the state estimation of a maneuvering target in 3D using bearing and elevation measurements from a passive infrared search and track (IRST) sensor. Since the range is not observable, the sensor must perform a maneuver to observe the state of the target.
Mallick M, Tian X, Zhu Y, Morelande M.
europepmc   +5 more sources

Adaptive tracking of maneuvering targets [PDF]

open access: greenIEEE Transactions on Automatic Control, 1968
A means is suggested heuristically by which Kalman sequential estimation can be made adaptive to target maneuvers without the sacrifice of tracking accuracy in the nonmaneuvering portions of a trajectory. The adaptation requires backsliding in the gain schedule and reprocessing of the most recent several measurements.
James S. Demetry, Harold A. Titus
openalex   +3 more sources

Maneuvering Target Tracking Using Simultaneous Optimization and Feedback Learning Algorithm Based on Elman Neural Network [PDF]

open access: yesSensors, 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
doaj   +2 more sources

Migration through Resolution Cell Correction and Sparse Aperture ISAR Imaging for Maneuvering Target Based on Whale Optimization Algorithm—Fast Iterative Shrinkage Thresholding Algorithm [PDF]

open access: yesSensors
Targets 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
doaj   +2 more sources

ISAR Imaging of Maneuvering Targets Based on the Modified Discrete Polynomial-Phase Transform [PDF]

open access: goldSensors, 2015
Inverse synthetic aperture radar (ISAR) imaging of a maneuvering target is a challenging task in the field of radar signal processing. The azimuth echo can be characterized as a multi-component polynomial phase signal (PPS) after the translational ...
Yong Wang   +3 more
doaj   +2 more sources

Strong Tracking Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking [PDF]

open access: yesSensors, 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
doaj   +2 more sources

Performance Analysis and Comparison for High Maneuver Target Track Based on Different Jerk Models

open access: goldJournal of Control Science and Engineering, 2018
The Jerk model is widely used for the track of the maneuvering targets. Different Jerk model has its own state expression and is suitable to different track situation.
Qinghai Meng   +4 more
doaj   +2 more sources

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