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Application of AUV to Track a Maneuvering Target

2021
In this research work, a target maneuvering in its course is tracked using Aerial Unmanned Vehicle (AUV) in three-dimensional space making use of bearing angle, range, and elevation angle measurements. An Extended Kalman filtering algorithm is considered for processing noise altered measurements.
Kausar Jahan, S. Koteswara Rao
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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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Target maneuver models for tracking estimators

Proceedings. ICCON IEEE International Conference on Control and Applications, 2005
This paper addresses the enhancement of maneuvering target, tracking for homing missiles by using a priori knowledge about the target inotion. Orthogonality between the target acceleration and velocity vector is assumed, and a new stochastic target, model is proposed where the orthogonality is embedded.
K.D. Kim, Jason L. Speyer, Min-Jea Tahk
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A Missile Control Strategy for Maneuvering Targets

1983 American Control Conference, 1983
This paper first analyzes and discusses some missile target tracking algorithms. A general formulation of the optimal guidance law using linear state models is then presented for a bank-to-turn missile.
Ching-Fang Lin, Marc W. Shafroth
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Progress in radar imaging for maneuvering targets

SCIENTIA SINICA Informationis, 2021
Radar imaging is an essential technique to acquire fine structural characteristics of a target. For a maneuvering target, however, the resolution of the traditional range-Doppler-based inverse synthetic-aperture radar (ISAR) imaging decreases on both the range and azimuth directions.
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A New Algorithm for Tracking a Maneuvering Target

Advanced Materials Research, 2012
A new algorithm for tracking a maneuvering target in presence of clutter or false measurements is addressed. Due to the availability of feature or attribute information in measurement vector, a joint probability density function description of the target state and target class is given. Using the joint state-class description the predictive measurement
Hong Wei Quan   +2 more
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An Algorithm for Tracking a Maneuvering Target in Clutter

IEEE Transactions on Aerospace and Electronic Systems, 1984
We consider the problem of tracking a maneuvering target in clutter. In such an environment, missed detections and false alarms make it impossible to decide, with certainty, the origin of received echoes. Processing radar returns in cluttered environments consists of three functions: 1) target detection and plot formation, 2) plot-to-track association,
Nagarajan, V, Sharma, RN, Chidambara, MR
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Estimating the terminal state of a maneuvering target

Proceedings of 1994 33rd IEEE Conference on Decision and Control, 2002
Consider a maneuvering target whose state x/sub t/ is governed by the linear stochastic system dx/sub t/=(Ax/sub t/+Bu/sub t/)dt+/spl sigma/dW/sub t/ in which u/sub t/ is the target's control law and W/sub t/ is a Wiener process of disturbances. Let linear observations y/sub t/ satisfying dy/sub t/=Hx/sub t/dt+dV/sub t/ be made, where V/sub t/ is a ...
V.E. Benes, Kurt Helmes, Raymond Rishel
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Generative Model for Maneuvering Target Tracking

IEEE Transactions on Aerospace and Electronic Systems, 2010
We consider the challenging problem of tracking highly maneuverable targets with unknown dynamics and introduce a new generative maneuvering target model (GMTM) that, for a rigid body target, explicitly estimates not only the kinematics, here considered as effect variables, but also the underlying causative dynamic variables including forces and ...
Xin Fan   +2 more
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Optimum tracking of a maneuvering target in clutter [PDF]

open access: possibleIEEE Transactions on Automatic Control, 1981
The optimum a posteriori filter for tracking a target in clutter is combined with an adaptive technique for tracking maneuvering targets. The resulting optimum filter requires an expanding memory. A Monte Carlo investigation of an N scan approximation to the optimum filter is also presented.
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