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

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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

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