Results 261 to 270 of about 49,342 (295)

Maneuvering Target Tracking with Hypothesis Testing

IEEE Transactions on Aerospace and Electronic Systems, 1987
A new approach is proposed for maneuvering target tracking.Target motion is described by nonlinear models in a sphericalcoordinate system. States of these models are estimated byquantization, multiple hypothesis testing, and a suboptimumdecoding algorithm of information theory. This approach does notrequire linearization of nonlinear models.
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Multiple-model detection of target maneuvers

SPIE Proceedings, 2005
This paper proposes a multiple-model (MM) hypothesis testing approach for detection of unknown target maneuvers that may have several possible prior distributions. An MMmaneuver detector based on sequential hypothesis testing is developed. Simulation results that compare the performance of the proposed MM detector to that of traditional maneuver ...
Jifeng Ru, X. Rong Li, Vesselin P. Jilkov   +2 more
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Maneuvering Target Tracking

2023
Weihua Wu, Hemin Sun, Mao Zheng, Weiping Huang   +3 more
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Proportional Navigation with a Maneuvering Target

IEEE Transactions on Aerospace and Electronic Systems, 1972
A qualitative analysis of the trajectories of a missile pursuing a maneuvering target according to the proportional navigation law is presented. Conditions for a missile to reach the target from any initial state are determined. The existence of a boundary for the required missile acceleration is demonstrated.
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Image-sensor-based target maneuver detection

Optical Engineering, 1993
In tracking maneuvering targets, ascertaining the start and the end of a maneuver time is a prerequisite to maintaining good track quality. Existing maneuver detection schemes based on point-mass tracking are either inadequate to reliably detect rapid maneuvers or computationally impractical.
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Tracking maneuvering targets via semi-Markov maneuver modeling

2014
Ph. D.
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Maneuvering target tracking using multiple maneuver model joint probabilistic data association

Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation, 2002
The JDPA (joint probabilistic data association) algorithm has been reported to be suitable for tracking multiple targets in the presence of extraneous observations (i.e., clutter, thermal false alarms, other targets) and no reports (missed target detections).
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Maneuvering target tracking of UAV based on MN-DDPG and transfer learning

Defence Technology, 2021
Bo Li
exaly  

Optimal Guidance with Maneuvering Targets

Journal of Spacecraft and Rockets, 1974
ROBERT B. ASHER, JOHN P. MATUSZEWSKI
openaire   +1 more source

DeepMTT: A deep learning maneuvering target-tracking algorithm based on bidirectional LSTM network

Information Fusion, 2020
Mai Xu
exaly