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Approximate extraction of late-time returns via morphological component analysis.
- Source :
-
Journal of the Acoustical Society of America . May2023, Vol. 153 Issue 5, p2838-2854. 17p. - Publication Year :
- 2023
-
Abstract
- A fundamental challenge in acoustic data processing is to separate a measured time series into relevant phenomenological components. A given measurement is typically assumed to be an additive mixture of myriad signals plus noise whose separation forms an ill-posed inverse problem. In the setting of sensing elastic objects using active sonar, we wish to separate the early-time return from the object's geometry from late-time returns caused by elastic or compressional wave coupling. Under the framework of morphological component analysis (MCA), we compare two separation models using the short-duration and long-duration responses as a proxy for early-time and late-time returns. Results are computed for a broadside response using Stanton's elastic cylinder model as well as on experimental data taken from an in-air circular synthetic aperture sonar system, whose separated time series are formed into imagery. We find that MCA can be used to separate early and late-time responses in both the analytic and experimental cases without the use of time-gating. The separation process is demonstrated to be compatible with image reconstruction. The best separation results are obtained with a flexible, but computationally intensive, frame based signal model, while a faster Fourier transform based method is shown to have competitive performance. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00014966
- Volume :
- 153
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Journal of the Acoustical Society of America
- Publication Type :
- Academic Journal
- Accession number :
- 164088002
- Full Text :
- https://doi.org/10.1121/10.0019415