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

• Other Authors: Mallick, Mahendra (Editor), Tharmarasa, Ratnasingham (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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 using a single sensor is also a challenging nonlinear filtering problem due to poor observability and the nonlinear measurement model. This filtering problem and associated tracking problem have been studied extensively. Three-dimensional angle-only filtering (AOF) is a two-dimensional counterpart of BOF . Real-world AOF problems include passive ranging using an infrared search and track (IRST) sensor, passive sonar, passive radar in the presence of jamming, ballistic missile and satellite tacking using a telescope, satellite to satellite passive tracking, and missile guidance using bearing-only seekers. The number of publications in the AOF and angle-only tracking in 3D is rather limited compared with the corresponding problems in 2D.