Benjamin J. Slocumb

发表

Batch maximum likelihood (ML) and maximum a posteriori (MAP) estimation with process noise for tracking applications

Aubrey B. Poore, Benjamin J. Slocumb, Brian J. Suchomel, 2003, SPIE Optics + Photonics.

Aubrey B. Poore, Benjamin J. Slocumb, Sabino Gadaleta, 2003, Proceedings of the 2003 American Control Conference, 2003..

Surveillance radar range-bearing centroid processing

Benjamin J. Slocumb, 2001, SPIE Optics + Photonics.

Tracking a maneuvering target using jump filters

Edward W. Kamen, Benjamin J. Slocumb, H. L. Stalford, 1994, Proceedings of 1994 American Control Conference - ACC '94.

Association ambiguity management in mixed data dimension tracking problems

Benjamin J. Slocumb, B. J. Slocumb, James R. Thornbrue, 2010, Defense + Commercial Sensing.

A Robust Kalman Filter for Estimatioh and Tracking of a Class of Periodic Discrete Event Processes

Benjamin J. Slocumb, Stephen D. Elton, 1996, Fourth International Symposium on Signal Processing and Its Applications.

Tracking closely-spaced, possibly unresolved, Rayleigh targets: Idealized resolution

Benjamin J. Slocumb, William Dale Blair, Guy Charles Brown, 2002, Proceedings, IEEE Aerospace Conference.

Pixel-cluster decomposition tracking for multiple IR-sensor surveillance

Aubrey B. Poore, Benjamin J. Slocumb, Sabino Gadaleta, 2004, SPIE Optics + Photonics.

Robust parameter estimation for periodic point process signals using circular statistics

Benjamin J. Slocumb, B. J. Slocumb, Stephen D. Elton, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Multiple Hypothesis Correlation in Track-to-Track Fusion Management

Aubrey B. Poore, Benjamin J. Slocumb, B. J. Slocumb, 2006 .

Tracking a maneuvering target in the presence of false returns and ECM using a variable state dimension Kalman filter

Edward W. Kamen, Benjamin J. Slocumb, P. D. West, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Tracking in the presence of range deception ECM and clutter by decomposition and fusion

Philip D. West, Benjamin J. Slocumb, B. J. Slocumb, 1999, Optics & Photonics.

Surveillance radar range-bearing centroid processing, part II: merged measurements

Benjamin J. Slocumb, Daniel Macumber, 2006, SPIE Defense + Commercial Sensing.

Parameter estimation for periodic discrete event processes

Douglas A. Gray, Benjamin J. Slocumb, Stephen D. Elton, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Maximum likelihood narrowband radar data segmentation and centroid processing

Benjamin J. Slocumb, William Dale Blair, 2004, SPIE Optics + Photonics.

Frame-building algorithm for electronically scanned array radar

Benjamin J. Slocumb, Michael E. Klusman, 2005, SPIE Optics + Photonics.

Implementation and analysis of the decomposition-fusion ECCM technique

X. Rong Li, Philip D. West, Benjamin J. Slocumb, 2000, SPIE Defense + Commercial Sensing.

A polynomial phase parameter estimation-phase unwrapping algorithm

Benjamin J. Slocumb, B. J. Slocumb, John Kitchen, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Multiple hypothesis clustering and multiple frame assignment tracking

Aubrey B. Poore, Sean Roberts, Benjamin J. Slocumb, 2004, SPIE Defense + Commercial Sensing.

A tracker adjunct processing system for reconsideration of firm tracker decisions

Randy C. Paffenroth, Benjamin J. Slocumb, B. J. Slocumb, 2010, Defense + Commercial Sensing.

Assessment of Hierarchical Multi-Sensor Multi-Target Track Fusion in the Presence of Large Sensor Biases

Benjamin J. Slocumb, Terrence L. Ogle, Darin T. Dunham, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Complexity reduction in MHT/MFA tracking, part II: hierarchical implementation and simulation results

Aubrey B. Poore, Benjamin J. Slocumb, 2006, SPIE Defense + Commercial Sensing.

EM-based measurement fusion for HRR radar centroid processing

W. Dale Blair, Benjamin J. Slocumb, B. J. Slocumb, 2002, SPIE Defense + Commercial Sensing.

Adaptive data association methods for pulse train analysis and deinterleaving

Benjamin J. Slocumb, 1998 .

A multiple model SNR/RCS likelihood ratio score for radar-based feature-aided tracking

Benjamin J. Slocumb, Michael E. Klusman, 2005, SPIE Optics + Photonics.

Maximum-likelihood estimation applied to quantum-limited optical position-sensing

Benjamin J. Slocumb, Donald L. Snyder, 1990 .

Pulse train PDA analysis and deinterleaving filter

Edward W. Kamen, Benjamin J. Slocumb, 1997, Defense, Security, and Sensing.