Dr. Paul Frank Singer Profile

Dr. Paul Frank Singer

Senior Scientist at Raytheon

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Author

Publications (21)

Proceedings Article | 25 September 2007 Paper

Track–to–track association using intrinsic statistical properties

Paul Frank Singer

Proceedings Volume 6699, 669910 (2007) https://doi.org/10.1117/12.735699

KEYWORDS: Sensors, Statistical analysis, Stochastic processes, Error analysis, Time metrology, Electroluminescence, Systems modeling, Signal processing, Data processing, Detection and tracking algorithms

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Proceedings Article | 5 October 2005 Paper

Comparison of parametric and non-parametric feature-aided association

Paul Singer

Proceedings Volume 5913, 59130M (2005) https://doi.org/10.1117/12.617921

KEYWORDS: Kinematics, Signal processing, Monte Carlo methods, Electroluminescence, Detection and tracking algorithms, Target detection, Data processing, Failure analysis, Radon, Error analysis

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In an effort to improve the probability of correctly associating tracks and observations, features, which are physical properties of the target other than kinematics, are included in the association process. Unlike their kinematic counter parts, the probability distributions of the features are typically not known for all of the objects involved. This precludes the use of the parametric hypothesis tests typically used with the kinematic data to perform association. One possible solution to this problem is to assume a probability distribution for each of the features and use it in the conventional parametric test used for association. The risk is that the wrong probability distributions will be assumed and the association error probability will increase. An alternative approach is to use the feature data in a non-parametric test, a type of test that requires little or no knowledge of the probability distribution of the data. The result of the non-parametric test of the feature data is then combined with the result of the conventional parametric test of the kinematic data. As the title suggests, this paper compares the performance of these two approaches for several sets of conditions. First, since the parametric test of the kinematic data assumes the data to be Gaussian distributed, the features are drawn initially from Gaussian populations. These Gaussian distributed features are used to test both approaches and their performance curves are compared and analyzed. This process is then repeated for three non-Gaussian feature distributions. Two of these distributions belong to the same exponential family of distributions as the Gaussian Distribution however, both have heavier tails and one is a one-sided distribution. The third feature distribution used in the comparison has finite support and the experiment is designed so that perfect performance is possible. Realizing that the association error probability is not zero, the foregoing evaluations are repeated with misassociations present in the data.

Proceedings Article | 15 September 2005 Paper

Use of spectral anomaly signature feature to improve ROC performance

H. Quevedo, P. Singer

Proceedings Volume 5913, 591306 (2005) https://doi.org/10.1117/12.609975

KEYWORDS: Sensors, Filtering (signal processing), Optical filters, Signal to noise ratio, Digital filtering, Infrared search and track, Signal detection, Interference (communication), Target detection, Signal processing

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Proceedings Article | 25 August 2004 Paper

Feature-aided tracking (FAT)

Paul Singer, Amanda Coursey

Proceedings Volume 5428, (2004) https://doi.org/10.1117/12.542952

KEYWORDS: Error analysis, Monte Carlo methods, Signal to noise ratio, Electroluminescence, Signal processing, Data processing, Sensors, Analytical research

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Proceedings Article | 7 August 2002 Paper

Optimal detector

Paul Singer

Proceedings Volume 4728, (2002) https://doi.org/10.1117/12.478495

KEYWORDS: Signal detection, Signal to noise ratio, Sensors, Electronic filtering, Interference (communication), Linear filtering, Signal processing, Gaussian filters, Target detection, Sensor performance

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Proceedings Article | 26 November 2001 Paper

Analysis and optimization of a class of nonlinear detection filters

Paul Singer

Proceedings Volume 4473, (2001) https://doi.org/10.1117/12.492773

KEYWORDS: Nonlinear filtering, Signal to noise ratio, Linear filtering, Signal detection, Electronic filtering, Optimal filtering, Receivers, Nonlinear optics, Digital filtering, Interference (communication)

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Proceedings Article | 13 July 2000 Paper

Extended Kalman filter target tracker for spatially resolved targets with dynamic signatures

Stacy Roszkowski, Paul Singer

Proceedings Volume 4048, (2000) https://doi.org/10.1117/12.391982

KEYWORDS: Filtering (signal processing), Detection and tracking algorithms, Sensors, Algorithm development, Point spread functions, Image filtering, Matrices, Atmospheric scintillation, Forward looking infrared, Electroluminescence

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Proceedings Article | 13 July 2000 Paper

Multispectral track features for the general case of an unknown target spectral signature

Paul Singer, Hector Quevedo

Proceedings Volume 4048, (2000) https://doi.org/10.1117/12.392010

KEYWORDS: Target detection, Optical filters, Sensors, Signal processing, Signal detection, Point spread functions, Interference (communication), Linear filtering, Reflectivity, Signal to noise ratio

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Proceedings Article | 13 July 2000 Paper

Multispectral detection of dim slightly extended targets in heavy clutter

Paul Singer, Doreen Sasaki

Proceedings Volume 4048, (2000) https://doi.org/10.1117/12.391969

KEYWORDS: Target detection, Sensors, Optical filters, Signal attenuation, Mid-IR, Long wavelength infrared, Infrared radiation, Receivers, Interference (communication), Point spread functions

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SPIE Journal Paper | 1 May 2000

Improved tracking capability and efficient radar allocation through the fusion of radar and infrared search-and-track observations

Samuel Blackman, Robert Dempster, Stacy Roszkowski, Doreen Sasaki, Paul Singer

OE, Vol. 39, Issue 05, (May 2000) https://doi.org/10.1117/12.10.1117/1.602506

KEYWORDS: Radar, Infrared search and track, Data modeling, Sensors, Performance modeling, Signal to noise ratio, Logic, Skin, Infrared radiation, Optical tracking

Proceedings Article | 4 October 1999 Paper

Application of IMM/MHT tracking with spectral features to ground targets

Samuel Blackman, Robert Dempster, Doreen Sasaki, Paul Singer, G. Tucker

Proceedings Volume 3809, (1999) https://doi.org/10.1117/12.364043

KEYWORDS: Sensors, Target detection, Electronic filtering, Motion models, Signal processing, Filtering (signal processing), Mid-IR, Data modeling, Signal detection, Long wavelength infrared

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Proceedings Article | 4 October 1999 Paper

Fully adaptive space-spectral detection of small targets in the absence of a-priori knowledge of the spectral signature of the target

Paul Singer, Doreen Sasaki

Proceedings Volume 3809, (1999) https://doi.org/10.1117/12.364014

KEYWORDS: Target detection, Sensors, Optical filters, Electronic filtering, Prototyping, Point spread functions, Signal detection, Statistical analysis, Imaging systems, Linear filtering

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Proceedings Article | 3 September 1998 Paper

Synthetic generation of IRST observations for tracker performance studies

Hector Quevedo, Paul Singer

Proceedings Volume 3373, (1998) https://doi.org/10.1117/12.324608

KEYWORDS: Sensors, Target detection, Signal processing, Infrared search and track, Filtering (signal processing), Electronic filtering, Data modeling, Infrared sensors, Atmospheric modeling, Signal to noise ratio

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Proceedings Article | 3 September 1998 Paper

Performance model for unresolved target detection using multispectral infrared data

Paul Singer, Doreen Sasaki

Proceedings Volume 3373, (1998) https://doi.org/10.1117/12.324647

KEYWORDS: Target detection, Data modeling, Optical filters, Performance modeling, Sensors, Infrared radiation, Statistical analysis, Optical flow, Infrared detectors, Signal processing

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Proceedings Article | 3 September 1998 Paper

Analysis of the cascade of track-before-detect and track-after-detect tracking algorithms

Paul Singer, Doreen Sasaki

Proceedings Volume 3373, (1998) https://doi.org/10.1117/12.324616

KEYWORDS: Detection and tracking algorithms, Target detection, Sensors, Signal to noise ratio, Filtering (signal processing), Performance modeling, Electronic filtering, Missiles, Signal processing, Digital filtering

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Proceedings Article | 29 October 1997 Paper

Analysis of the effects of fixed pattern noise on a fully adaptive matched filter

Paul Singer, Doreen Sasaki

Proceedings Volume 3163, (1997) https://doi.org/10.1117/12.283969

KEYWORDS: Filtering (signal processing), Sensors, Digital filtering, Interference (communication), Electronic filtering, Signal attenuation, Target detection, Point spread functions, Error analysis, Signal processing

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Proceedings Article | 29 October 1997 Paper

Performance analysis of a velocity filter bank

Paul Singer

Proceedings Volume 3163, (1997) https://doi.org/10.1117/12.283956

KEYWORDS: Image filtering, 3D acquisition, Electronic filtering, Point spread functions, Digital filtering, Linear filtering, Signal attenuation, Sensors, Gaussian filters, Optical filters

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Proceedings Article | 31 May 1996 Paper

Analysis of signal capture loss for fully adaptive matched filters

Paul Singer, Doreen Sasaki

Proceedings Volume 2759, (1996) https://doi.org/10.1117/12.241212

KEYWORDS: Signal to noise ratio, Signal attenuation, Electronic filtering, Digital filtering, Interference (communication), Statistical analysis, Signal detection, Optimal filtering, Linear filtering, Signal analyzers

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Proceedings Article | 31 May 1996 Paper

False track discrimination in a 3D signal/track processor

Joseph Attili, Robert Fries, Cheuk Chan, Samuel Blackman, Paul Singer, Robert Dempster

Proceedings Volume 2759, (1996) https://doi.org/10.1117/12.241183

KEYWORDS: Signal processing, Target detection, Sensors, Filtering (signal processing), Data processing, Signal detection, 3D acquisition, Logic, Clouds, Electronic filtering

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Proceedings Article | 31 May 1996 Paper

Estimating the degrees of freedom for a common CFAR detector

Paul Singer, Doreen Sasaki

Proceedings Volume 2759, (1996) https://doi.org/10.1117/12.241210

KEYWORDS: Signal to noise ratio, Sensors, Target detection, Statistical analysis, Infrared search and track, Filtering (signal processing), Signal processing, Data analysis, Detection and tracking algorithms, Logic

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Proceedings Article | 1 September 1995 Paper

The heavy tailed distribution of a common CFAR detector

Paul Singer, Doreen Sasaki

Proceedings Volume 2561, (1995) https://doi.org/10.1117/12.217699

KEYWORDS: Signal to noise ratio, Statistical analysis, Sensors, Target detection, Gaussian filters, Linear filtering, Electronic filtering, Point spread functions, Detector development, Chemical elements

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Showing 5 of 21 publications

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