Abstract
The propagation mode of reliable acoustic path (RAP) in deep water is widely used in the field of target detection. A receiver set at the bottom of the seabed can receive acoustic signals from RAP. The direct (D) wave and the surface-reflected (SR) wave from a broadband source form an undulating interference structure in the frequency domain. This feature is sensitive to target depth and is thus used for depth estimation. Traditionally, depth estimation using the interference pattern, the scalar intensity in the frequency domain is processed by the optimal Fourier transform to extract the line spectrum in the depth domain. Based on this method, we proposed a passive depth estimation method for underwater broadband sources in deep water based on the orthogonal matching pursuit (OMP) algorithm. The OMP-based method is applied to scalar vertical line array (VLA) and single vector sensor (SVS) data. The OMP-based method largely eliminates side lobe interference, reduces the width of the main lobe, and improves depth estimation resolution while ensuring the stability and reliability of the results. Finally, the experimental data of VLA and SVS in the South China Sea are processed to validate the proposed method.
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