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Published on: June 30, 2014
Use of higher order statistics in source signature estimation
The Journal of the Acoustical Society of America
|June 1, 2000
Summary
Higher order statistical blind deconvolution effectively removes underwater acoustic signal distortion. A fourth-order cumulant maximization method shows promise for sparse multipath environments, even with non-converged iterations.
Area of Science:
- Underwater Acoustics
- Signal Processing
- Statistical Signal Processing
Background:
- Multipath distortion degrades passively received underwater acoustic transient signals.
- Blind deconvolution techniques are crucial for recovering original signal characteristics.
Purpose of the Study:
- To implement and evaluate higher-order statistical blind deconvolution methods for mitigating multipath distortion.
- To assess the performance of a fourth-order cumulant maximization method on underwater acoustic signals.
Main Methods:
- Utilized single-channel data and simulations for method evaluation.
- Applied a fourth-order statistical blind deconvolution method based on cumulant maximization.
- Investigated the impact of filter length and iterative convergence on deconvolution performance.
Main Results:
- The fourth-order method demonstrated effectiveness when the multipath Green's function was sparse.
- Useful deconvolution solutions were obtained across a wider range of filter lengths by allowing non-convergence.
- Generalizing the objective functional to arbitrary orders, including third order, also yielded good results.
Conclusions:
- Higher-order statistical blind deconvolution is a viable approach for underwater acoustic signal enhancement.
- The performance is sensitive to the sparsity of the multipath channel.
- Flexibility in iterative convergence criteria broadens the applicability of these deconvolution techniques.
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