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Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions
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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.
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Keywords
- accuracy analysis
- angle-only filtering in 3D
- angle-only measurements
- angle-only observations
- angle-only sensor
- Bayesian estimation
- bearing-only
- bearings-only localization
- bearings-only multisensor-multitarget tracking
- bearings-only tracking
- bias estimation
- Cauchy kernel
- coarse gating
- conical angles
- constrained MLE
- correlation analysis
- Cramer–Rao lower bound
- Critical Infrastructure Protection
- cubature Kalman filter (CKF)
- data association
- Data fusion
- differential received signal strength localization
- evolutionary ant colony optimization
- Fisher information matrix
- Gaussian kernel
- History of engineering & technology
- hybrid localization
- infrared search and track (IRST) sensor
- instrumental variables
- intelligence analysis
- intelligence-aware estimation
- Itô stochastic differential equation
- least Lp-norm
- least squares
- Mahalanobis distance
- maneuvering target tracking
- maximum correntropy criterion
- maximum likelihood
- maximum likelihood estimation
- MIDACO-SOLVER
- MMSE framework
- multidimensional assignment (MDA)
- multiple hypothesis tracking
- non Gaussian noise
- nonlinear estimation
- nonlinear filtering
- observability
- optimal target–sensor geometries
- passive sensor network
- passive sensor networks
- path planning
- posterior Cramer–Rao lower bound
- pseudolinear estimation
- pseudolinear estimator
- Radar
- robust estimation
- signal localization
- smart estimation
- source localization
- target motion analysis
- Technology, engineering, agriculture
- Technology: general issues
- terrain uncertainty
- total Lp-norm optimization
Links
DOI: 10.3390/books978-3-0365-6855-3Editions