Results 241 to 250 of about 3,368,666 (282)

Auxiliary particle filters for tracking a maneuvering target

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
We consider the recursive state estimation of a highly maneuverable target. We apply optimal recursive Bayesian filters directly to the nonlinear target model. We present novel sequential simulation based algorithms developed explicitly for the maneuvering target tracking problem.
Rickard Karlsson, Niclas Bergman
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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
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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, Erik B. Sudderth, Alan S. Willsky   +2 more
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Passive tracking of a maneuvering target: an adaptive approach

IEEE Transactions on Signal Processing, 1994
The problem of target tracking using passive sensors is examined. The target is assumed to execute maneuvers at times unknown to the observer. An adaptive algorithm, which takes into account such maneuvers, is derived using the multimodel partitioning approach.
Sokratis K. Katsikas, Assimakis K. Leros, Demetrios G. Lainiotis   +2 more
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Passive depth tracking of underwater maneuvering targets

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
As a parallel extension to the adaptive range tracking of underwater targets described by Moose and Dailey [1], this paper discusses the problem of tracking the depth of a maneuvering target using passive time-delay measurements. The target is free to maneuver in velocity and make random depth changes at times unknown to the observer.
Richard L. Moose, P. M. Godiwala
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IMMGNNF with visibility for multiple maneuvering target tracking

2016 IEEE International Conference on Digital Signal Processing (DSP), 2016
In this paper, we develop the Interacting Multiple Model (IMM) estimator using the constant velocity, constant acceleration and coordinated turn model set with Global Nearest Neighbour (GNN) filter to track multiple maneuvering targets. The performance of this IMMGNN filter is further enhanced by incorporating a recursion of the probability of target ...
Madeleine G. Sabordo, Elias Aboutanios
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A guidance law for visual tracking of a maneuvering target

2006 American Control Conference, 2006
This paper presents an adaptive disturbance rejection control architecture for a flying vehicle to track a maneuvering target using a monocular camera as a visual sensor. The derived guidance law is an acceleration command for the follower and enures range regulation with desired precision. Simulations illustrate the performance of the method.
Vahram Stepanyan, Naira Hovakimyan
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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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An Efficient Algorithm for Tracking Multiple Maneuvering Targets

Proceedings of the 44th IEEE Conference on Decision and Control, 2006
Tracking multiple maneuvering targets in a cluttered environment is a challenging problem. A combination of interacting multiple model (IMM) and joint probabilistic data association (JPDA) has been successfully applied to track multiple maneuvering targets.
Songhwai Oh, Shankar Sastry 0001
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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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