journal article·2022-09-18Open access

Passive Array-Invariant-Based Localization for a Small Horizontal Array Using Two-Dimensional Deconvolution

Yujie Wang, Cheng Chi, Yu Li, Donghao Ju, Haining Huang

Applied Sciences· Volume 12· Issue 18

Abstract

Recently, the array-invariant method was proposed to passively localize sources of opportunity in shallow water. It exploits multiple arrivals which are different in terms of beam angle and travel time. Conventional plane-wave beamforming in the existing array-invariant method is used to obtain beam-time migration. The resolution capability of conventional plane-wave beamforming is determined by array aperture, which, however, limits the localization accuracy of the existing array-invariant method. To improve the localization accuracy, this study proposes the use of two-dimensional (2D) deconvolution to obtain a better beam-time migration than in conventional plane-wave beamforming. Our simulation with a small horizontal array showed that the range estimation error of the proposed array-invariant method based on 2D deconvolution was only one-third of that of the existing method. The experiment also demonstrated the validity of our proposed method.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Underwater Acoustics Research · Speech and Audio Processing · Indoor and Outdoor Localization Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing, Chinese Academy of Sciences, Beijing 100190, China

Funding

National Natural Science Foundation of China

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