Mr. Tom Lang Profile

Tom Lang

Principal Engineer at General Dynamics Canada Ltd

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Author

Publications (12)

Proceedings Article | 16 April 2010 Paper

Spline filter for target tracking

Donna Kocherry, R. Tharmarasa, Tom Lang, T. Kirubarajan

Proceedings Volume 7698, 76980H (2010) https://doi.org/10.1117/12.851075

KEYWORDS: Nonlinear filtering, Electronic filtering, Particles, Particle filters, Digital filtering, Detection and tracking algorithms, Filtering (signal processing), Time metrology, Motion measurement, Motion controllers

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Proceedings Article | 16 April 2010 Paper

Probabilistic data association in high clutter environments

R. Tharmarasa, T. Lang, Mike McDonald, T. Kirubarajan

Proceedings Volume 7698, 76980L (2010) https://doi.org/10.1117/12.851070

KEYWORDS: Personal digital assistants, Target detection, Filtering (signal processing), Surveillance, Time metrology, Electronic filtering, Sensors, Digital filtering, Algorithm development, Detection and tracking algorithms

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Proceedings Article | 3 September 2009 Paper

Assignment-based particle labeling for PHD particle filter

Daniel Danu, Thomas Lang, Thia Kirubarajan

Proceedings Volume 7445, 74450D (2009) https://doi.org/10.1117/12.826203

KEYWORDS: Particles, Clouds, Particle filters, Filtering (signal processing), Electronic filtering, Detection and tracking algorithms, Target detection, Error analysis, Digital filtering, Data hiding

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Proceedings Article | 3 September 2009 Paper

Distributed tracking with probability hypothesis density filters using efficient measurement encoding

A. Aravinthan, R. Tharmarasa, Tom Lang, Mike McDonald, T. Kirubarajan

Proceedings Volume 7445, 74450H (2009) https://doi.org/10.1117/12.826552

KEYWORDS: Quantization, Computer programming, Sensor networks, Sensors, Detection and tracking algorithms, Monte Carlo methods, Particles, Electronic filtering, Computer simulations, Associative arrays

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Proceedings Article | 3 September 2009 Paper

Rao-Blackwellised approximate conditional mean probability hypothesis density filtering

N. Nandakumaran, S. Sutharsan, R. Tharmarasa, T. Lang, T. Kirubarajan

Proceedings Volume 7445, 74450J (2009) https://doi.org/10.1117/12.826423

KEYWORDS: Particles, Digital filtering, Neptunium, Gaussian filters, Detection and tracking algorithms, Nonlinear filtering, Sensors, Monte Carlo methods, Electronic filtering, Target detection

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Proceedings Article | 3 September 2009 Paper

SMC-PHD-based multi-target tracking with reduced peak extraction

Darcy Dunne, Ratnasingham Tharmarasa, Thomas Lang, T. Kirubarajan

Proceedings Volume 7445, 74450F (2009) https://doi.org/10.1117/12.826244

KEYWORDS: Particles, Electronic filtering, Digital filtering, Fuzzy logic, Detection and tracking algorithms, Target detection, Monte Carlo methods, Particle filters, Nonlinear filtering, Kinematics

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Proceedings Article | 1 September 2009 Paper

Interacting multiple model forward filtering and backward smoothing for maneuvering target tracking

N. Nandakumaran, S. Sutharsan, R. Tharmarasa, Tom Lang, Mike McDonald, T. Kirubarajan

Proceedings Volume 7445, 744503 (2009) https://doi.org/10.1117/12.826549

KEYWORDS: Smoothing, Detection and tracking algorithms, Electronic filtering, Motion models, Switching, Systems modeling, Performance modeling, Target detection, Time metrology, Computer simulations

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Proceedings Article | 17 April 2008 Paper

Gaussian mixture probability hypothesis density smoothing with multistatic sonar

N. Nandakumaran, R. Tharmarasa, T. Lang, T. Kirubarajan

Proceedings Volume 6968, 696807 (2008) https://doi.org/10.1117/12.779236

KEYWORDS: Detection and tracking algorithms, Filtering (signal processing), Gaussian filters, Algorithm development, Smoothing, Sensors, Active sonar, Electronic filtering, Monte Carlo methods, Doppler effect

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Proceedings Article | 17 April 2008 Paper

Tracking and classification using aspect-dependent RCS and kinematic data

S. Sutharsan, R. Tharmarasa, T. Lang, T. Kirubarajan

Proceedings Volume 6969, 696913 (2008) https://doi.org/10.1117/12.779218

KEYWORDS: Sensors, Kinematics, Radar, Detection and tracking algorithms, Motion models, Computer simulations, Data integration, Distance measurement, Data fusion, Scatter measurement

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Proceedings Article | 16 April 2008 Paper

Joint path planning and sensor subset selection for multistatic sensor networks

R. Tharmarasa, Tom Lang, T. Kirubarajan

Proceedings Volume 6969, 69690T (2008) https://doi.org/10.1117/12.779217

KEYWORDS: Sensors, Transmitters, Receivers, Sensor networks, Passive sensors, Genetic algorithms, Target detection, Detection and tracking algorithms, Neptunium, Surveillance

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Proceedings Article | 16 April 2008 Paper

Track fusion with feedback for local trackers using MHT

Daniel Danu, Tom Lang, T. Kirubarajan

Proceedings Volume 6969, 69690Y (2008) https://doi.org/10.1117/12.777851

KEYWORDS: Sensors, Error analysis, Statistical analysis, Time metrology, Target detection, Information fusion, Sensor fusion, Stars, Data fusion, Binary data

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Proceedings Article | 16 April 2008 Paper

Tracking with poorly localized sensors in multistatic sensor networks

R. Tharmarasa, T. Lang, T. Kirubarajan

Proceedings Volume 6969, 69690P (2008) https://doi.org/10.1117/12.779232

KEYWORDS: Sensors, Receivers, Sensor networks, Detection and tracking algorithms, Transmitters, Passive sensors, Global Positioning System, Computer simulations, Filtering (signal processing), Active sensors

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Showing 5 of 12 publications

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