Mr. Terrence L. Ogle Profile

Terrence L. Ogle

at Georgia Tech Research Institute

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 13 September 2007 Paper

Metrics for evaluating track covariance consistency

Oliver Drummond, Terrence Ogle, Steven Waugh

Proceedings Volume 6699, 669916 (2007) https://doi.org/10.1117/12.740303

KEYWORDS: Error analysis, Monte Carlo methods, Mahalanobis distance, Matrices, Sensors, Computer simulations, Data fusion, Statistical analysis, Data processing, Electronic filtering

Read Abstract +

Proceedings Article | 25 August 2004 Paper

Multitarget tracking and monopulse signal processing for spawning targets

Peter Willett, William Blair, Terry Ogle

Proceedings Volume 5428, (2004) https://doi.org/10.1117/12.542643

KEYWORDS: Radar, Detection and tracking algorithms, Signal to noise ratio, Monte Carlo methods, Signal processing, Statistical modeling, Missiles, Antennas, Performance modeling, Numerical analysis

Read Abstract +

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

Read Abstract +

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

Read Abstract +

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

Read Abstract +

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.

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years