Multichannel deconvolution of vibrational signals: A state-space inverse filtering approach
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Deconvolution of noisy measurements, especially when they are multichannel, has always been a challenging problem. The processing techniques developed range from simple Fourier methods to more sophisticated model-based parametric methodologies based on the underlying acoustics of the problem at hand. Methods relying on multichannel mean-squared error processors (Wiener filters) have evolved over long periods from the seminal efforts in seismic processing. However, when more is known about the acoustics, then model-based state-space techniques incorporating the underlying process physics can improve the processing significantly. The problems of interest are the vibrational response of tightly coupled acoustic test objects excited by an out-of-the-ordinary transient, potentially impairing their operational performance. Further, employing a multiple input/multiple output structural model of the test objects under investigation enables the development of an inverse filter by applying subspace identification techniques during initial calibration measurements. Feasibility applications based on a mass transport experiment and test object calibration test demonstrate the ability of the processor to extract the excitations successfully.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-07NA27344
- OSTI ID:
- 1814090
- Report Number(s):
- LLNL-JRNL--818038; 1027807
- Journal Information:
- Journal of the Acoustical Society of America, Journal Name: Journal of the Acoustical Society of America Journal Issue: 3 Vol. 149; ISSN 0001-4966
- Publisher:
- Acoustical Society of AmericaCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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