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Ray-based blind deconvolution of shipping sources using single-snapshot adaptive beamforming
Xuedong Zhang1, Juan Yang1, Karim Sabra2
1Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
The Journal of the Acoustical Society of America
|March 2, 2020
Summary
A new ray-based blind deconvolution (RBD) algorithm improves multipath arrival estimation for anisotropic sources using adaptive beamforming. This enhanced method accurately detects weak signals, like bottom-bounce arrivals, crucial for underwater acoustics.
Area of Science:
- Underwater acoustics
- Signal processing
- Array processing
Background:
- Conventional wideband beamforming (CWBF) struggles with anisotropic radiators and short arrays.
- Accurate estimation of channel impulse response (CIR) is vital for underwater communication and sensing.
- Weak multipath arrivals are often missed by traditional methods.
Purpose of the Study:
- To introduce a higher-resolution ray-based blind deconvolution (RBD) algorithm.
- To improve the estimation of channel impulse response (CIR) in challenging acoustic environments.
- To accurately detect weak multipath arrivals, such as bottom-bounce signals.
Main Methods:
- Developed a novel RBD algorithm utilizing single snapshot adaptive beamforming.
- Employed space-frequency smoothing of the array covariance matrix for enhanced resolution.
- Validated the algorithm with experimental recordings from a container vessel.
Main Results:
- The enhanced RBD algorithm demonstrated superior performance in beamforming on weak multipath arrivals.
- Successfully estimated the bottom-bounce arrival of the CIR using experimental data.
- Overcame limitations of CWBF in scenarios with anisotropic radiators and short receiving arrays.
Conclusions:
- The proposed higher-resolution RBD algorithm offers significant improvements over CWBF for CIR estimation.
- This method is effective for analyzing complex underwater acoustic environments with multipath propagation.
- The technique shows promise for applications requiring precise detection of weak acoustic signals.
