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Particle filters for maneuvering target tracking problem

Signal Processing, 2006
In this paper, we address the target tracking problem for the case of maneuvering target, including single target and multiple target tracking. We propose a suitable model to characterize the maneuvering acceleration and develop a state space model to describe the maneuvering target tracking problem.
Yihua Yu, QianSheng Cheng
openaire   +2 more sources

Optimal Tracking of Maneuvering Targets

IEEE Transactions on Aerospace and Electronic Systems, 1973
Maneuvering target motion is modeled by introducing a binary random variable in the target state equation. The optimal estimate is shown to be a weighted combination of two Kalman filter estimates with weights depending on the likelihood ratio for the detection of a maneuver. A tracking scheme is proposed for maneuvering target tracking and illustrated
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Hierarchical Dirichlet processes for tracking maneuvering targets

2007 10th International Conference on Information Fusion, 2007
We consider the problem of state estimation for a dynamic system driven by unobserved, correlated inputs. We model these inputs via an uncertain set of temporally correlated dynamic models, where this uncertainty includes the number of modes, their associated statistics, and the rate of mode transitions.
Emily B. Fox   +2 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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Fast implementation of ground maneuvering target focusing

Digital Signal Processing, 2019
Abstract Ground maneuvering target detection is a hot topic in the applications of synthetic aperture radar (SAR), whereas its focusing performance is severely deteriorated by range migration and Doppler frequency migration during a long integration time.
Wenchao Yu   +4 more
openaire   +1 more source

Resolution and parameters estimations for multiple maneuvering targets

Science China Information Sciences, 2014
Resolution and parameters estimations for multiple maneuvering targets in the same range cell is addressed in this work. The low-resolution radar cannot distinguish multiple targets in both distance and angle, but the detection of Doppler frequency variation of the multiple maneuvering targets can be used to resolve this problem.
Shuyi Jia   +3 more
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A filter method for pose estimation of maneuvering target

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005
A filter method is presented for 3D pose (position and orientation) estimation of an arbitrary moving target from a monocular image sequence. Problem considered here is error propagation from image features to pose parameters. To this end, we have derived a combination of two filter schemes. The first filter scheme uses maneuver detection technique, in
Feili Hou, Feng Zhu 0014
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Unscented Fuzzy Tracking Algorithm for Maneuvering Target

2005
A novel adaptive algorithm for tracking maneuvering targets is proposed in this paper. The algorithm is implemented with fuzzy filtering and unscented transformation. A fuzzy system allows the filter to tune the magnitude of maximum accelerations to adapt to different target maneuvers.
Shiqiang Hu, Li-wei Guo, Zhongliang Jing
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Target maneuver detection algorithm

Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, 2005., 2005
Using bearings only information, passive target tracking in under water scenario can be carried out for a target moving at a constant velocity. If the target changes its course or speed or both, the estimated parameters differ with those of actuals. Hence it is usual to find out target maneuver, before the solution diverges completely and appropriately
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Maneuvering Target Tracking

2023
Weihua Wu   +3 more
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