This paper presents three state estimators grounded in the variable-stepsize Gauss- and Lobatto-type Nested Implicit Runge-Kutta (NIRK) formulas of orders 4 and 6 and designed for treating continuous-time stochastic s...
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This paper presents three state estimators grounded in the variable-stepsize Gauss- and Lobatto-type Nested Implicit Runge-Kutta (NIRK) formulas of orders 4 and 6 and designed for treating continuous-time stochastic systems arisen in radar tracking. Our filters are built within the Extended Kalman Filtering (EKF) framework and based on accurate numerical integrations of the corresponding Moment Differential Equations (MDEs). Automatic local and global error regulation mechanisms implemented in these methods allow the committed discretization error to be under control and made negligible in automatic mode. The latter raises the state estimation accuracy of the constructed filters, significantly. This also leads to the advanced notion of Accurate Continuous-Discrete Extended Kalman Filtering (ACD-EKF) developed by Kulikov and Kulikova in 2013-2016. Our novel methods are constructed within the same approach, but possess the improved accuracy and efficiency in comparison to their predecessors due to both more effective error control mechanisms implemented for integrating MDEs and more accurate iterations used for treating arisen nonlinear equations in the revised filters. Numerical eXperiments with the updated state estimators and their comparison to the cited earlier-designed ACD-EKFs are fulfilled in severe conditions of tackling a seven-dimensional radar tracking problem, where an aircraft executes a coordinated turn, in Matlab. This examination suggests that the novel state estimation algorithms outperform their predecessors and possess a promising potential for solving targettracking tasks in real-world applications. (C) 2016 Elsevier B.V. All rights reserved.
The proceedings contain 16 papers. The topics discussed include: maintaining track identity for a fragmenting target;performance comparison of trackingalgorithms for a ground based radar;exploiting real-time FPGA bas...
ISBN:
(纸本)086341608X
The proceedings contain 16 papers. The topics discussed include: maintaining track identity for a fragmenting target;performance comparison of trackingalgorithms for a ground based radar;exploiting real-time FPGA based adaptive systems technology for real-time sensor fusion in next generation automotive safety systems;a comprehensive study on flight path selection algorithms;evolutionary optimization approach for missile guidance algorithms to achieve accurate interception of maneuvering targets in 3D;incorporating Doppler velocity measurement for track initiation and maintenance;robust background tracking for infrared image sequences;practical use of SIAP metrics in the analysis of air picture quality;keynote address the Viterbi algorithm;and improved target detection and tracking in littoral environments using a selforganizing spatio-temporal CFAR.
The proceedings contain 23 papers. The topics discussed include: fusion without independence;investigation into the utility of using CFAR cluster size information in target track association;multi-sensor debris tracki...
ISBN:
(纸本)9780863419102
The proceedings contain 23 papers. The topics discussed include: fusion without independence;investigation into the utility of using CFAR cluster size information in target track association;multi-sensor debris tracking;Gaussian mixture implementations of probability hypothesis density filters for non-linear dynamical models;population based particle filtering;MAP estimation in particle filter tracking;a new algorithm for GMTI tracking problems, subject to a Doppler blind zone constraint;a technique to segment by tracking extended targets manoeuvring through complex scenes;video tracking using dual-tree wavelet polar matching and particle filtering;cluster tracking under kinematical constraints using random matrices;evolving networks for group object motion estimation;fusion of novel biometrics for human tracking and identification;and NATO intelligence surveillance reconnaissance tracking standard NATO STANAG 4676.
The following topics are dealt with: targettracking; data fusion; particle filtering; multisensor; MAP estimation; video tracking; random matrix; motion estimation; MANET; mobile robot; Kalman filter; object detectio...
The following topics are dealt with: targettracking; data fusion; particle filtering; multisensor; MAP estimation; video tracking; random matrix; motion estimation; MANET; mobile robot; Kalman filter; object detection and laser range scanner.
This paper considers the problem of manoeuvring targettracking with bearings-only measurements collected by a single source. We use the switching multiple models description where the target motion is described by a ...
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This paper introduces a new methodology to take account of the Doppler blind zone arising, for example, in GMTI tracking. Here, the measurements are suppressed, when the range-rate of the target drops below a specifie...
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Scattering of signals from commercial television or radio channels from air and surface targets can be detected by one or more passive receivers. The received signals can be processed to give bistatic range and range ...
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Posterior densities in nonlinear tracking problems can successfully be constructed using particle filtering. The mean of the density is a popular point estimate. However, especially in multi-modal densities it does no...
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