Reduced-Order Wave-Propagation Modeling Using the Eigensystem Realization Algorithm

  • Stephen A. Ketcham
  • Minh Q. Phan
  • Harley H. Cudney
Conference paper


This paper presents a computationally efficient version of the Eigensystem Realization Algorithm (ERA) to model the dynamics of large-domain acoustic propagation from High Performance Computing (HPC) data. This adaptation of the ERA permits hundreds of thousands of output signals to be handled at a time. Once the ERA-derived reduced-order models are obtained, they can be used for future simulation of the propagation accurately without having to go back to the HPC model. Computations that take hours on a massively parallel high performance computer can now be carried out in minutes on a laptop computer.


Singular Value Decomposition High Performance Computing Random Access Memory Hankel Matrice Markov Parameter 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Stephen A. Ketcham
    • 1
  • Minh Q. Phan
    • 2
  • Harley H. Cudney
    • 1
  1. 1.Engineer Research and Development CenterHanoverUSA
  2. 2.Thayer School of EngineeringDartmouth CollegeHanoverUSA

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