Dr. George C. Brown Profile

Dr. George C. Brown

at Georgia Institute of Technology

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Publications (8)

Proceedings Article | 10 May 2007 Paper

Impact point prediction of small ballistic munitions with an interacting multiple model estimator

Steve Conover, J. Clayton Kerce, George Brown, Lisa Ehrman, David Hardiman

Proceedings Volume 6569, 656905 (2007) https://doi.org/10.1117/12.723567

KEYWORDS: Motion models, Motion estimation, Error analysis, Time metrology, Filtering (signal processing), Wave propagation, Sensors, Process modeling, Missiles, Systems modeling

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Proceedings Article | 5 January 2004 Paper

Comparison of methods for tracking separating targets with a monopulse radar

Peter Willett, William Blair, Terrence Ogle, Andrew Register, George Brown

Proceedings Volume 5204, (2004) https://doi.org/10.1117/12.513630

KEYWORDS: Target detection, Radar, Signal to noise ratio, Detection and tracking algorithms, Missiles, Filtering (signal processing), Signal detection, Signal processing, Computer simulations, Sensors

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Proceedings Article | 5 January 2004 Paper

AOA estimation with merged measurements from squint beam monopulse data in conjunction with multiple range samples

George Brown, William Blair, Terrence Ogle

Proceedings Volume 5204, (2004) https://doi.org/10.1117/12.513633

KEYWORDS: Detection and tracking algorithms, Target detection, Electroluminescence, Antennas, Data modeling, Radar, Algorithm development, Monte Carlo methods, Signal to noise ratio, Statistical analysis

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Proceedings Article | 25 August 2003 Paper

Performance assessment and comparison of various tracklet methods for maneuvering targets

Oliver Drummond, W. Blair, George Brown, Terry Ogle, Yaakov Bar-Shalom, Robert Cooperman, William Barker

Proceedings Volume 5096, (2003) https://doi.org/10.1117/12.503750

KEYWORDS: Sensors, Error analysis, System on a chip, Filtering (signal processing), Radar, Sensor fusion, Detection and tracking algorithms, Monte Carlo methods, Electronic filtering, Motion models

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A tracklet is the estimate of a target state or track that is equivalent to an estimate based only a few measurements. Typically, tracklets are considered to reduce the communications costs between sensors and remote global or fusion trackers. The literature includes several methods for computing tracklets. Some of the methods compute tracklets from measurements, while others compute tracklets from the sensor-level tracks. Some of the methods ignore or omit process noise from the modeling, while others methods attempt to address the presence of process noise. The tracking of maneuvering targets requires the inclusion of process noise. When a tracklet that was developed for nonmaneuvering targets (i.e., no process noise) is used for tracking maneuvering targets, the errors of the tracklet will be somewhat cross-correlated with data from other sensors for the same target, and it is referred to as a quasi-tracklet. Due to some important practical considerations, the impact of maneuvering targets on the performance of tracklets has not been thoroughly addressed in the literature. An investigation that includes the critical practical considerations requires computer simulations with realistic target maneuvers and pertinent evaluation criteria (i.e., computation of errors). In this paper, some of the practical issues concerning the use of tracklets for tracking maneuvering targets are discussed, and the results from a simulation study of the impact of target maneuvers on tracking with tracklets are given. The study considered a fusion tracker receiving tracklets from multiple sensors at dispersed locations and targets maneuvering with either random accelerations or deterministic maneuvers. Tracklets from measurements and tracklets from tracks were studied. Since process noise was added to sensor and fusion trackers to account for target maneuvers, the tracklet methods studied are technically quasi-tracklets. A novel technique is used to compare the performance of tracklets for targets maneuvering randomly with that for targets performing deterministic maneuvers.

Proceedings Article | 7 August 2002 Paper

Probability-of-detect-based beam pointing for multitarget tracking with electronically scanned radars

Andrew Register, George Brown, W. Dale Blair

Proceedings Volume 4728, (2002) https://doi.org/10.1117/12.478499

KEYWORDS: Radar, Antennas, Target detection, Phased arrays, Signal to noise ratio, Palladium, Convolution, Sensors, Missiles, Tolerancing

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Proceedings Article | 26 November 2001 Paper

Use of joint data association probabilities for covariance consistency

W. Dale Blair, George Brown

Proceedings Volume 4473, (2001) https://doi.org/10.1117/12.492743

KEYWORDS: Time metrology, Electronic filtering, Detection and tracking algorithms, Target detection, Radar, Algorithm development, Signal processing, Automatic tracking, Optical filters, Data processing

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Proceedings Article | 26 November 2001 Paper

Probabilistic data association filter with binomial distributed false alarms for radar tracking

W. Dale Blair, George Brown

Proceedings Volume 4473, (2001) https://doi.org/10.1117/12.492758

KEYWORDS: Sensors, Radar, Target detection, Signal to noise ratio, Antennas, Electronic filtering, Phased arrays, Filtering (signal processing), Time metrology, Beam shaping

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Proceedings Article | 13 July 2000 Paper

Track management technique for electronically scanned radars

George Brown, W. Dale Blair, Daniel Diaz

Proceedings Volume 4048, (2000) https://doi.org/10.1117/12.392008

KEYWORDS: Radar, Silver, Logic, Phased arrays, Target detection, Computer simulations, Analytical research, Data processing, Detection and tracking algorithms, Matrices

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Showing 5 of 8 publications

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