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Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions

Two-dimensional bearing-only filtering (BOF) arises in many real-world tracking problems, including underwater tracking using a passive sonar, aircraft surveillance using a passive radar, navigation of a robot using a passive sonar, and undersea exploration of natural resources using sonar. BOF usin...

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Enregistré dans:
Format: Online
Langue:anglais
Publié: MDPI - Multidisciplinary Digital Publishing Institute 2023
Sujets:
target motion analysis
observability
fisher information matrix
Cramér–Rao lower bound
conical angles
nonlinear estimation
bearings-only tracking
pseudolinear estimation
correlation analysis
MMSE framework
bearing-only
source localization
robust estimation
least Lp-norm
total Lp-norm optimization
hybrid localization
differential received signal strength localization
bearings-only localization
maximum likelihood
pseudolinear estimator
least squares
instrumental variables
intelligence-aware estimation
radar
constrained MLE
data fusion
smart estimation
intelligence analysis
critical infrastructure protection
evolutionary ant colony optimization
MIDACO-SOLVER
angle-only sensor
terrain uncertainty
posterior Cramer–Rao lower bound
bias estimation
path planning
angle-only filtering in 3D
infrared search and track (IRST) sensor
maneuvering target tracking
cubature Kalman filter (CKF)
Itô stochastic differential equation
passive sensor network
signal localization
data association
angle-only measurements
accuracy analysis
bearings-only multisensor-multitarget tracking
multidimensional assignment (MDA)
coarse gating
Mahalanobis distance
maximum likelihood estimation
multiple hypothesis tracking
nonlinear filtering
non Gaussian noise
maximum correntropy criterion
Gaussian kernel
Cauchy kernel
passive sensor networks
angle-only observations
optimal target–sensor geometries
Fisher information matrix
Bayesian estimation
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accès en ligne:ONIX_20230511_9783036568546_57
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