Results 251 to 260 of about 22,175 (290)

Passive tracking of underwater maneuvering targets

1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes, 1978
The problem of passively tracking underwater maneuvering targets using time differentials of received sound waves is explored. The paper next develops a two-dimenslonal, adaptive tracking algorithm that gives an unbiased range estimate as a target makes random step changes in radial velocity.
R. Moose, D. McCabe, H. VanLandingham
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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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Concise track characterization of maneuvering targets

AIAA Guidance, Navigation, and Control Conference and Exhibit, 2001
The identification and characterization of targets is difficult using conventional Kalman filter-based trackers, because these trackers are not able to provide an accurate and succinct list of maneuvers for use in track and target identification. We propose a new approach, representing target tracks as a sequence of circular and linear splines which ...
Stephen Linder, Richard Quintin, Matthew Ryan   +2 more
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Adaptive Tracking Filter for Maneuvering Targets

IEEE Transactions on Aerospace and Electronic Systems, 1978
A general method of continually restructuring an optimum Bayes-Kalman tracking filter is proposed by conceptualizing a growing tree of filters to maintain optimality on a target exhibiting maneuver variables. This tree concept is then constrained from growth by quantizing the continuously sensed maneuver variables and restricting these to a small value
George Ricker, Jack Williams
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Towards robust tracking of maneuvering targets

Navigation and Control Conference, 1991
The great majority of tracking filters that have been developed for intercept applications are essentially variations of the extended Kalman filter. There are two factors that severely degrade the performance of such filters: low observability and modeling errors.
STEPHAN HEPNER, LUCA BAGNASCHI, HANS GEERING   +2 more
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Perception-net-based maneuvering target tracking

SPIE Proceedings, 1999
The IMM estimator is known as a suboptimal hybrid filter that has been shown to be one of the most cost-effective hybrid state estimation schemes. The value of hybrid models for tracking algorithm is that the occurrence of target maneuvers can be explicitly included in the kinematic equations through regime jumps.
Jae W. Choi, Tae H. Fang, Keum S. Hong
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Maneuvering target tracking using jump processes

[1991] Proceedings of the 30th IEEE Conference on Decision and Control, 2002
The authors present a maneuvering target model with the maneuver dynamics modeled as a jump process of Poisson type. The jump process represents the deterministic maneuver (or pilot commands) and is described by a stochastic differential equation driven by a Poisson process taking values from a set of discrete states. Assuming that the observations are
S.S. Lim, M. Farooq
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Target tracking for maneuvering reentry vehicles using multiple maneuvering models

Electronics and Communications in Japan (Part I: Communications), 2000
This 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.
Hiroshi Kameda, Shingo Tsujimichi, Yoshio Kosuge   +2 more
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Survey of maneuvering target tracking: II. Ballistic target models

SPIE Proceedings, 2001
This paper is the second part in a series that provides a comprehensive survey of the problems and techniques of tracking maneuvering targets in the absence of the so-called measurement-origin uncertainty. It surveys motion models of ballistic targets used for target tracking.
X. Rong Li, Vesselin P. Jilkov
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Practical system for tracking multiple maneuvering targets

Optical Engineering, 2003
The tracking of multiple maneuvering targets in a dense clut- ter environment is investigated. An effective parallel processing algo- rithm based on state fusion and fast joint probabilistic data association (FJPDA) is proposed. State fusion and feedback of all state information are used to fit different movements of targets.
Jian-xun Li, Zhong-liang Jing
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