Work

Adaptive Steered Frequency–Wavenumber Analysis for High-Frequency Source Localization in Shallow Water

Year: 2025

Type: article

Abstract: In shallow-water environments, source localization often suffers from reduced performance in conventional array signal processing techniques for frequency bands above 1 kHz due to environmental mismatch. A recently proposed technique, called the steered frequency-wavenumber (SFK) analysis method, overcomes this limitation. By incorporating beam-steering techniques into frequency-wavenumber analysis, this method enables target localization even in sparse conditions where high-frequency signals are received. This study extends the SFK method by applying various adaptive signal processing techniques, with a particular focus on the minimum-variance distortionless response and white noise gain constraint methods. Using snapping shrimp sounds from the SAVEX15 experiment, we analyzed localization performance and compared it with the Bartlett SFK approach. The snapping shrimp signals have frequency components ranging from 5 to 24 kHz and exhibit impulsive characteristics with a duration of 0.2 ms. Signals recorded by a sparse vertical array of 16 sensors, with a 60-m aperture in 100-m shallow water, enabled the localization of a source at a range of 38 m and a depth of 99.8 m.

Source: Sensors

DOI: 10.3390/s25072036

Authors: Y. H. Choi, Gihoon Byun, Donghyeon Kim, J. S. Kim

Institutions: Korea Maritime and Ocean University, Scripps Institution of Oceanography, University of California San Diego

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Korea Research Institute for Defense Technology Planning and Advancement