Results 251 to 260 of about 3,368,666 (282)

Maneuvering frequency adaptive algorithm of maneuvering target tracking

2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), 2013
The current statistical model is one of most effective method for maneuvering target tracking. It's the mean acceleration model and it reflects the variation of target's maneuvering rang and the intensity more practically . However, the frequency of maneuvering α , which represents the variation of target maneuvering, needs to be predefined and it won ...
Liang Chen, Xin Gong, Huijing Shi, Junwei Yang   +3 more
openaire   +1 more source

Target visibility for multiple maneuvering target tracking

SPIE Proceedings, 2015
We 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 ...
Madeleine G. Sabordo, Elias Aboutanios
openaire   +1 more source

Tracking a Maneuvering Target Using Neural Fuzzy Network

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2002
A fast target maneuver detecting and highly accurate tracking technique using a neural fuzzy network based on Kalman filter is proposed in this paper. In the automatic target tracking system, there exists an important and difficult problem: how to detect the target maneuvers and fast response to avoid miss-tracking?
Fun-Bin Duh, Chin-Teng Lin
openaire   +3 more sources

Quadrature filters for maneuvering target tracking

International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), 2014
In this paper, a maneuvering target tracking problem has been solved by using the Guss-Hermite filter (GHF) and sparse-grid Gauss-Hermite filter (SGHF). Univariate Gauss-Hermite quadrature rule is extended for multidimensional systems by using the product rule and the Smolyak's rule in GHF and SGHF respectively. The SGHF, which is an alternative of GHF
Abhinoy Kumar Singh, Shovan Bhaumik
openaire   +1 more source

Multisensor tracking of a maneuvering target in clutter

IEEE Transactions on Aerospace and Electronic Systems, 1989
An algorithm is presented for tracking a highly maneuvering target using two different sensors, a radar and an infrared sensor, assumed to operate in a cluttered environment. The nonparametric probabilist data association filter (PDAF) has been adapted for the multisensor (MS) case, yielding the MSPDAF.
A. Houles, Y. Bar-Shalom
openaire   +1 more source

Adaptive tracking of maneuvering targets

2013
http://archive.org/details ...
Demetry, James S., Titus, Harold A.
openaire   +1 more source

Maneuvering Target Tracking in the Presence of Glint

2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel, 2006
The problem of maneuvering target tracking in the presence of glint noise is addressed in this paper. The main challenge in this problem stems from its nonlinearity and non-Gaussianity. In this work, the nonlinear Gaussian mixture Kalman filter (NL-GMKF) is applied to the problem of maneuvering target tracking in the presence of glint. The algorithm is
I. Bilik, J. Tabrikian
openaire   +1 more source

Maneuvering Target Tracking

2023
Weihua Wu, Hemin Sun, Mao Zheng, Weiping Huang   +3 more
openaire   +1 more source

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.
openaire   +1 more source

Optimum tracking of a maneuvering target in clutter

IEEE 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.
openaire   +1 more source