Results 251 to 260 of about 7,293 (302)
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Sequential detection of target maneuvers
2005 7th International Conference on Information Fusion, 2005This paper addresses target maneuver onset detection based on sequential statistical tests. Cumulative sums (CUSUM) type and Shiryayev sequential probability ratio (SSPRT) tests are developed by using a likelihood marginalization technique to cope with the difficulty that the target maneuver accelerations are unknown.
Vesselin P. Jilkov +3 more
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Renewal models for maneuvering targets
IEEE Transactions on Aerospace and Electronic Systems, 1995Most model-based tracking algorithms represent the temporal dynamics of a maneuver acceleration with a Markov process. The sample paths so generated may not be plausible. A renewal process model is shown to be more realistic, but a tracker based upon it is seen to be more complicated to implement.
M. Kent +3 more
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On Tracking a Maneuvering Target in Clutter
IEEE Transactions on Aerospace and Electronic Systems, 1984A new technique for tracking a maneuvering target in a cluttered environment is developed. This approach does not rely on a statistical description of the maneuver as a random process. Instead, the state model for the target is changed when a maneuver is detected.
Y. Bar-Shelom, K. Birmiwal
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Detection of Target Maneuver Onset
IEEE Transactions on Aerospace and Electronic Systems, 2009A classical maneuvering target tracking (MTT) problem (detection of the onset of a target maneuver) is presented in two parts. The first part reviews most traditional maneuver onset detectors and presents results from a comprehensive simulation study and comparison of their performance.
Anwer Bashi +3 more
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Proportional Navigation with a Maneuvering Target
IEEE Transactions on Aerospace and Electronic Systems, 1972A 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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Target visibility for multiple maneuvering target tracking
SPIE Proceedings, 2015We present a recursion of the probability of target visibility and its applications to analysis of track life and termination in the context of Global Nearest Neighbour (GNN) approach and Probability Hypothesis Density (PHD) filter. In the presence of uncertainties brought about by clutter; decisions to retain a track, terminate it or initialise a new ...
Elias Aboutanios, Madeleine G. Sabordo
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Target tracking for maneuvering reentry vehicles using multiple maneuvering models
Electronics and Communications in Japan (Part I: Communications), 2000This paper proposes a nonlinear filter design algorithm using multiple maneuvering models for tracking of a maneuvering reentry vehicle (MaRV) from its radar measurements. This filtering algorithm is discussed in terms of the fundamental problems of modeling accuracy, tracking errors with other conventional methodologies.
H. Kameda, Shingo Tsujimichi, Y. Kosuge
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Target maneuver detection algorithm
Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, 2005., 2005Using 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 with colored noise
IEEE Transactions on Aerospace and Electronic Systems, 1996It is known that colored noise may degrade the performance of a tracking algorithm. A common remedy is to model colored noise as an autoregressive (AR) process and apply the measurement difference method. One problem with the approach is that the AR parameters are usually unknown.
Dah-Chung Chang, Wen-Rong Wu
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On maneuvering target tracking via the PMHT
Proceedings of the 36th IEEE Conference on Decision and Control, 2002This paper presents an iterative off-line optimal state estimation algorithm, which yields the maximum a posteriori (MAP) state trajectory estimate of the state sequence of a target maneuvering in clutter. The problem is formulated as a jump Markov linear system and the expectation maximization algorithm is used to compute the state sequence estimate ...
J. Holst +2 more
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