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检索条件"任意字段=25th SPIE Conference on Signal and Data Processing of Small Targets"
168 条 记 录,以下是51-60 订阅
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Map integration in tracking
Map integration in tracking
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19th conference on signal and data processing of small targets
作者: Sworder, David D. Boyd, John E. Hutchins, R. G. Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA Cub Def Applicat San Diego CA 92186 USA Naval Postgrad Sch Dept EECE Monterey CA USA
A multiple model tracking algorithm has considerable advantage when the target is moving on a road grid. A map-enhanced algorithm magnifies this by excluding large regions of the 2D motion-space from search. However, ... 详细信息
来源: 评论
Joint MAP bias estimation and data association: Simulations
Joint MAP bias estimation and data association: Simulations
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19th conference on signal and data processing of small targets
作者: Danford, Scott Kragel, Bret Poore, Aubrey Numer Corp POB 271246 Ft Collins CO 80527 USA
the problem of joint maximum a posteriori (MAP) bias estimation and data association belongs to a class of nonconvex mixed integer nonlinear programming problems. these problems are difficult to solve due to both the ... 详细信息
来源: 评论
Comparison of bias removal algorithms in track-to-track association
Comparison of bias removal algorithms in track-to-track asso...
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19th conference on signal and data processing of small targets
作者: Mori, Shozo Chong, Chee BAE Syst Adv Informat Technol 5050 El Camino RealSuite 200 Los Altos CA 94022 USA
this paper compares the performance of several algorithms for estimating relative sensor biases when two sets of sensor tracks from two sensor systems are to be fused to form system tracks. the primary focus of this p... 详细信息
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Tracking dim targets using integrated clutter estimation
Tracking dim targets using integrated clutter estimation
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19th conference on signal and data processing of small targets
作者: Brekke, Edmund Kirubarajan, thiagalingam tharmarasa, Ratnasingharn Norwegian Univ Sci & Technol Dept Engn Cybernet NO-7491 Trondheim Norway Univ Grad Ctr NO-2027 Kjeller Norway McMaster Univ Elect & Comp Engn Hamilton ON L8S 4K1 Canada
In this paper we address the problem of detecting and tracking a single dim target in unknown background noise. Several methodologies have been developed for this problem, including track-before-detect (TBD) methods w... 详细信息
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Future prospects for algorithm development of tracking related processing - art. no. 66990E
Future prospects for algorithm development of tracking relat...
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19th conference on signal and data processing of small targets
作者: Drummond, Oliver E. CyberRnD Inc Culver City CA 90230 USA
the state of the art of tracking has matured and consequently, the priorities for improved performance and expanded or new processing capabilities have changed. Future directions in algorithm development in tracking a... 详细信息
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data fusion handoff within a federation of fusion systems
Data fusion handoff within a federation of fusion systems
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19th conference on signal and data processing of small targets
作者: Shea, Peter J. Roskamp, Bryce Black River Syst Co 17685 Juniper PathSuite 300 Lakeville MN 55044 USA
As the military continues to move forward with an increased number of sensor and fusion systems, it becomes necessary for these systems to be able to communicate efficiently and effectively. In these environments ther... 详细信息
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Metrics for evaluating track covariance consistency
Metrics for evaluating track covariance consistency
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19th conference on signal and data processing of small targets
作者: Drummond, Oliver E. Ogle, Terry L. Waugh, Steve CyberRnD Inc Culver City CA 90230 USA Missile Def Agcy Washington DC USA
the primary components of a target track are the estimated state vector and its error variance-covariance matrix (or simply the covariance). the estimated state indicates the location and motion of the target. the tra... 详细信息
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IMM/MHT tracking with an unscented particle filter with application to ground targets
IMM/MHT tracking with an unscented particle filter with appl...
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19th conference on signal and data processing of small targets
作者: Lancaster, J. Blackman, S. Yu, L. Raytheon POB 902 El Segundo CA 90245 USA
Particle filter tracking, a type of sequential Monte Carlo method, has long been considered to be a very promising, but time-consuming tracking technique. Methods have been developed to include a particle filter as pa... 详细信息
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Computationally efficient assignment-based algorithms for data association for tracking with angle-only sensors
Computationally efficient assignment-based algorithms for da...
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19th conference on signal and data processing of small targets
作者: Sathyan, T. Sinha, A. Kirubarajan, T. McMaster Univ Dept Elect & Comp Engn 1280 Main St West Hamilton ON L8S 4K1 Canada
In this paper we describe computationally efficient assignment-based algorithms to solve the data association problem in synchronous passive multisensor tracking systems. A traditional assignment-based solution to thi... 详细信息
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Joint MAP bias estimation and data association: Algorithms
Joint MAP bias estimation and data association: Algorithms
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19th conference on signal and data processing of small targets
作者: Danford, Scott Kragel, Bret Poore, Aubrey Numer Corp POB 271246 Ft Collins CO 80527 USA
the problem of joint maximum a posteriori (MAP) bias estimation and data association belongs to a class of nonconvex mixed integer nonlinear programming problems. these problems are difficult to solve due to both the ... 详细信息
来源: 评论