Results 221 to 230 of about 3,368,666 (282)

A Variational Bayesian Constrained EKF for Sonar-Based Underwater Target Tracking in Shallow Water. [PDF]

Sensors (Basel)
Zhou H, Ding Y, Gao H, Wang G, Ge T, Zhang Y.   +5 more
europepmc   +1 more source

Research on Integrated Technologies for Space Target Imaging, Ranging, and Communication. [PDF]

J Imaging
Gu X, Fu Q, Liu Z, Wang G, Wang H, Wang C, Wang T, Li Y, Jiang H.   +8 more
europepmc   +1 more source

Ground Maneuvering Target Detection and Motion Parameter Estimation Method Based on RFRT-SLVD in Airborne Radar Sensor System. [PDF]

Sensors (Basel)
Lin L, Zhao Y, Yang Y, Cao D, Wang H, Liu L, Chen X.   +6 more
europepmc   +1 more source

Ensemble of KalmanNets for Maneuvering Target Tracking

2024 27th International Conference on Information Fusion (FUSION)
Tracking a maneuvering target requires the modeling of the target's movements by multiple pre-defined mathematical models. However, the uncertainty in the target's dynamics can lead traditional model-based (MB) tracking algorithms to significant performance degradation when model mismatch occurs.
Mari M., Snidaro L.
openaire   +3 more sources

An Adaptive Tracking Algorithm of Maneuvering Target

Advanced Materials Research, 2011
In the existing process of maneuvering target tracking, the target’s actual trajectory can not be foreseen precisely. A commonly attempt is under the assumption that the target’s trajectory is prefixed. The prefixed model is usually not inosculated with the target’s actual trajectory, and the target’s tracking precision can not be guaranteed.
Zhang Song Shi, Pi Xu Zhang, Rui Li, Shen Wang   +3 more
openaire   +2 more sources

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Attention-Based Maneuver-Aware Tracking Network for Maneuvering Target Tracking

IEEE Signal Processing Letters
Haohao Ren, Lin Zou
exaly   +3 more sources

A novel algorithm for tracking a maneuvering target in clutter

Digital Signal Processing, 2022
Ernesto Leite Pinto, Alberto Guimaraes
exaly   +3 more sources

Smoothing for maneuvering target tracking

2006 9th International Conference on Information Fusion, 2006
Smoothing algorithms for maneuvering target tracking with nonlinear target dynamic and measurement equations are described and investigated. Target motion is represented using a multiple model approach. Techniques based on the interacting multiple model filter (IMMF), hypothesis pruning and maximum a posteriori (MAP) estimation of the maneuvering mode ...
Mark R. Morelande, Branko Ristic 0001
openaire   +1 more source

A tracking algorithm of maneuvering targets

[1992] Proceedings of the 31st IEEE Conference on Decision and Control, 1993
A methodology for the tracking of maneuvering targets is presented. The authors' algorithm uses a quickest detection scheme based on the innovation sequence that minimizes the maneuver detection delay. Their approach also includes a recursive technique to maneuver magnitude estimation and a modified Kalman filter that incorporates the maneuver ...
T.C. Wang, P.K. Varshney
openaire   +1 more source