Ray-based blind deconvolution of shipping sources using single-snapshot adaptive beamforming
Abstract
The original ray-based blind deconvolution (RBD) algorithm estimates the phase of a source of opportunity—e.g., a shipping vessel—using conventional wideband beamforming (CWBF) along a well-resolved ray-path to estimate the channel impulse response (CIR). However, for the case of an anisotropic radiator and when using a short-aperture receiving array, CWBF is unable to accurately beamform on weak multipath arrivals. Instead, a higher-resolution RBD algorithm based on single snapshot adaptive beamforming is introduced by using space-frequency smoothing of the array covariance matrix; and its performance is demonstrated using experimental recordings of a container vessel to estimate the bottom-bounce arrival of the CIR.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 01, 2020
- Source ID
- 10.1121/10.0000709
Entities
People
- Juan Yang
- Karim G. Sabra
- Xuedong Zhang
Organizations
- Chinese Academy of Sciences
- Georgia Tech
- National Natural Science Foundation of China
- Office of Naval Research