Dr. Constantino Rago Profile

Dr. Constantino Rago

at BAE Systems Advanced Information Technologies

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Publications (6)

Proceedings Article | 31 July 2002 Paper

Confidence measure and performance evaluation for HRRR-based classifiers

Constantino Rago, Tim Zajic, Melvyn Huff, Raman Mehra, Ronald Mahler, Michael Noviskey

Proceedings Volume 4729, (2002) https://doi.org/10.1117/12.477607

KEYWORDS: Wavelets, Principal component analysis, Radar, Distance measurement, Target recognition, Detection and tracking algorithms, Nonlinear filtering, Statistical analysis, Data acquisition, Wavelet transforms

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Proceedings Article | 16 August 2001 Paper

Joint tracking, pose estimation, and target recognition using HRRR and track data: new results

Tim Zajic, Constantino Rago, Ronald Mahler, Melvyn Huff, Michael Noviskey

Proceedings Volume 4380, (2001) https://doi.org/10.1117/12.436948

KEYWORDS: Wavelets, Target recognition, Radar, Detection and tracking algorithms, Principal component analysis, Nonlinear filtering, Statistical analysis, Electronic filtering, Information operations, Estimation theory

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Proceedings Article | 16 August 2001 Paper

Optical path tracking in high-scintillation scenarios

Constantino Rago, Melvyn Huff, Ravi Ravichandran, Raman Mehra, Tim Zajic, Norman Lehtomaki, Ronald Mahler, Donald Washburn

Proceedings Volume 4380, (2001) https://doi.org/10.1117/12.436954

KEYWORDS: Missiles, Neural networks, Filtering (signal processing), Atmospheric optics, Optical tracking, Error analysis, Fiber optic illuminators, Motion models, Nose, Associative arrays

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The problem described in this paper deals with tracking the optical path perturbations introduced by the atmosphere when illuminating a target (missile) with laser light. Due to atmospheric irregularities, the optical path from an observer to an in-flight missile deviates from a straight line, and also changes in time. If the goal of the system is to point a laser beam at a specific point (or area) of the missile body for a given period of time, these optical path variations should be tracked and compensated when pointing the laser beam. The laser beam should be pointed, not to the true but to the apparent location of the desired spot. In the actual system, the missile is illuminated with several lasers (forming a broad beam), and an image of the missile (distorted through the atmosphere) is obtained from the backscattered light. This image contains all the information available about the optical path. The purpose of the work presented here is to estimate the apparent location of five different spots of the missile (distributed evenly along the longitudinal axis, from the nose up to mid-body) from the backscattered images and a- priori information that includes the size and speed of the missile. The dta available is high-fidelity simulated data, and the apparent locations of the desired spots (over time) are known. Two approaches are considered here. The first approach is based on breaking the problem into two parts: a measurement part and an estimation part. For the measurement part, a Neural Network is used to infer a mapping from the image to the apparent location of the points of interest (known for the simulated data). Those measured locations are then used by a Kalman filter to estimate the apparent locations. The Kalman filter exploits the fact that the optical paths (from different spots along the longitudinal axis) are correlated in time. This correlation is caused by the missile's displacement through the atmosphere. The second approach is to compute the centroids of the images and use the resulting points as estimates of the apparent location of a point on the missile. For the first approach, simulation results show a noticeable decrease in the rms error of the apparent location estimates when compared to the average location (mean value). The second approach, while simple, was found to perform quite well.

Proceedings Article | 4 August 2000 Paper

Joint tracking, pose estimation, and identification using HRRR data

Ronald Mahler, Constantino Rago, Tim Zajic, Stanton Musick, Raman Mehra

Proceedings Volume 4052, (2000) https://doi.org/10.1117/12.395070

KEYWORDS: Detection and tracking algorithms, Nonlinear filtering, Electronic filtering, Target recognition, Radar, Statistical analysis, Automatic target recognition, Filtering (signal processing), Optical filters, Target detection

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Proceedings Article | 1 September 1995 Paper

CW-FM pulse fusion schemes

Constantino Rago, Peter Willett, Yaakov Bar-Shalom

Proceedings Volume 2561, (1995) https://doi.org/10.1117/12.217715

KEYWORDS: Fermium, Frequency modulation, Doppler effect, Palladium, Target detection, Error analysis, Signal to noise ratio, Radar, Reflectors

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