Coherent multi-beam ray-based blind deconvolution with curvature compensation for channel impulse response estimation
Abstract
This paper presents a method to mitigate the degradation of ray-based blind deconvolution for channel impulse response (CIR) estimation in the presence of near-field propagation and array deformation. The method uses sparse Bayesian learning to locate dispersed beam peaks and coherently combines the corresponding per-beam CIRs to sharpen the target wavefront. It then estimates inter-element delays by extracting the dominant arrival time in the combined CIR at each sensor and uses them to construct a curvature-compensated steering vector that removes phase errors and recovers the multipath structure. Monte Carlo simulations and at-sea data validate the approach.
Fields of Study & Subjects
Direction-of-Arrival Estimation Techniques
Blind Source Separation Techniques
Underwater Acoustics Research
Publication details
- Journal / source
- JASA Express Letters
- Publisher
- Acoustical Society of America (ASA)
- Volume
- 6
- Issue
- 4
- Publication date
- 1 April 2026
- Language
- EN