Mr. Sivagnanam Sutharsan Profile

Sivagnanam Sutharsan

Graduate Student at McMaster Univ

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Author

Publications (9)

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 | 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 | 11 May 2009 Paper

Improved target tracking using kinematic measurements and target orientation information

S. Sutharsan, R. Tharmarasa, T. Kirubarajan

Proceedings Volume 7336, 733604 (2009) https://doi.org/10.1117/12.819234

KEYWORDS: Sensors, Kinematics, Detection and tracking algorithms, Motion models, Monte Carlo methods, Algorithm development, Missiles, Motion estimation, Motion measurement, Radar

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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 | 25 September 2007 Paper

Improved observable operator model for joint target tracking and classification

S. Sutharsan, T. Kirubarajan

Proceedings Volume 6699, 66990U (2007) https://doi.org/10.1117/12.735322

KEYWORDS: Expectation maximization algorithms, Detection and tracking algorithms, Sensors, Systems modeling, Mathematical modeling, Computer simulations, Stochastic processes, Data modeling, Surveillance, Kinematics

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Proceedings Article | 17 May 2006 Paper

Observable operator model-based joint target tracking and classification

S. Sutharsan, A. Sinha, T. Kirubarajan, M. Farooq

Proceedings Volume 6235, 623501 (2006) https://doi.org/10.1117/12.667793

KEYWORDS: Sensors, Expectation maximization algorithms, Detection and tracking algorithms, Mathematical modeling, Kinematics, Systems modeling, Stochastic processes, Feature extraction, Data integration, Algorithm development

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Proceedings Article | 16 September 2005 Paper

An optimization-based parallel particle filter for multitarget tracking

S. Sutharsan, A. Sinha, T. Kirubarajan, M. Farooq

Proceedings Volume 5913, 591309 (2005) https://doi.org/10.1117/12.618456

KEYWORDS: Particles, Particle filters, Detection and tracking algorithms, Technetium, Algorithm development, Computer simulations, Surveillance, Computing systems, Computer architecture, Monte Carlo methods

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Proceedings Article | 25 May 2005 Paper

Performance evaluation of nonlinear filters for tracking multiple ballistic targets

A. Sinha, N. Nandakumaran, S. Sutharsan, T. Kirubarajan, A El-Fallah, A. Zatezalo

Proceedings Volume 5809, (2005) https://doi.org/10.1117/12.606493

KEYWORDS: Particles, Particle filters, Detection and tracking algorithms, Electronic filtering, Nonlinear filtering, Filtering (signal processing), Monte Carlo methods, Target detection, Digital filtering, Complex systems

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Proceedings Article | 9 August 2004 Paper

Tracking spawning targets with a tagged particle filter

Abhijit Sinha, N. Nandakumaran, S. Sutharsan, Thiagalingam Kirubarajan

Proceedings Volume 5429, (2004) https://doi.org/10.1117/12.543353

KEYWORDS: Particles, Detection and tracking algorithms, Particle filters, Filtering (signal processing), Electronic filtering, Monte Carlo methods, Motion models, Target detection, Complex systems, Nonlinear filtering

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Showing 5 of 9 publications

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