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Graph-based Matched Field Localization for an Underwater Source

2021/01/18 by Peng Xiao, Xiao, Peng, Lingji Xu +7
Earth and Planetary Sciences · Engineering · #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Signal Processing (eess.SP) #Underwater Acoustics Research #Underwater Vehicles and Communication Systems #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2101.07137

openalex publication_date 2021/01/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Matched Field Processing (MFP) locates the underwater sources by matching the received data with the replica vectors, which could be regarded as a generalized beamformer. In this paper, the MFP method is combined with a recently developed framework -- Graph Signal Processing (GSP) method. Following the paradigm of GSP, a spatial adjacency matrix is constructed for the arbitrary distributed sensors based on the Green's function, then the source is located by utilizing the graph Fourier transform. The simulation results illustrate that the Graph-based MFP outperforms the the conventional MFP processors -- the Bartlett processor and the Minimum Variance processor -- for its good accuracy and robustness.

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