Novel Signal Processing Techniques Using Large Sensor Arrays for Fast Acoustic Source Localization

2005 ◽  
Author(s):  
Anindya Ghoshal ◽  
HeungSoo Kim
Keyword(s):  
Signal Processing ◽  
Source Localization ◽  
Sensor Arrays ◽  
Acoustic Source ◽  
Acoustic Source Localization ◽  
Processing Techniques ◽  
Signal Processing Techniques

Rapid localization of acoustic source using sensor clusters in 3D homogeneous and heterogeneous structures

2020 ◽  
pp. 147592172094519
Author(s):  
Shenxin Yin ◽  
Huapan Xiao ◽  
Zhiwen Cui ◽  
Tribikram Kundu
Keyword(s):  
Source Localization ◽  
Heterogeneous Media ◽  
Sensor Arrays ◽  
Heterogeneous Structure ◽  
Acoustic Source ◽  
Unknown Parameters ◽  
Localization Technique ◽  
3D Structures ◽  
Acoustic Source Localization ◽  
Heterogeneous Structures

The acoustic source localization in 3D structures is a challenging task especially if the structure is heterogeneous. A large number of unknown parameters in a 3D heterogeneous structure require a large number of sensor arrays for accurate source localization. In this article, a localization technique is proposed using triangular pyramid shaped sensor clusters. The time difference of arrival of acoustic signals between different sensors of the clusters is analyzed to localize the acoustic source. It uses acoustic wave propagation information to rapidly localize the acoustic source. This rapid acoustic source localization technique works well for both homogeneous and heterogeneous media. It considers the refraction in heterogeneous media using Snell’s law. The proposed technique is verified experimentally and numerically. The experimental results show that the technique is effective for source localization in 3D homogeneous structures. Numerical results are generated by finite element modeling for both homogeneous and heterogeneous structures. The results show the reliability of the proposed technique. This technique helps to localize the acoustic source with only a few sensors and is indispensable for monitoring large 3D structures with monitoring equipment that can handle only a few sensors.

scholarly journals Acoustic Source Localization via Time Difference of Arrival Estimation for Distributed Sensor Networks Using Tera-Scale Optical Core Devices

2009 ◽  
Vol 2009 ◽  
pp. 1-11 ◽  
Author(s):  
Neena Imam ◽  
Jacob Barhen
Keyword(s):  
Sensor Networks ◽  
Source Localization ◽  
Sensor Arrays ◽  
Digital Processing ◽  
Acoustic Source ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Acoustic Source Localization ◽  
Block Algorithms ◽  
Processing Platform

For real-time acoustic source localization applications, one of the primary challenges is the considerable growth in computational complexity associated with the emergence of ever larger, active or passive, distributed sensor networks. These sensors rely heavily on battery-operated system components to achieve highly functional automation in signal and information processing. In order to keep communication requirements minimal, it is desirable to perform as much processing on the receiver platforms as possible. However, the complexity of the calculations needed to achieve accurate source localization increases dramatically with the size of sensor arrays, resulting in substantial growth of computational requirements that cannot be readily met with standard hardware. One option to meet this challenge builds upon the emergence of digital optical-core devices. The objective of this work was to explore the implementation of key building block algorithms used in underwater source localization on the optical-core digital processing platform recently introduced by Lenslet Inc. This demonstration of considerably faster signal processing capability should be of substantial significance to the design and innovation of future generations of distributed sensor networks.

scholarly journals USE OF RAY TRACING MODELING IN SHALLOW WATER ACOUSTIC SOURCE LOCALIZATION COMBINED WITH MATCHED-FIELD PROCESSING TECHNIQUES

2016 ◽  
Vol 34 (3) ◽  
Author(s):  
Vicente Barroso Junior ◽  
Orlando Camargo Rodríguez ◽  
Carlos Eduardo Parente Ribeiro ◽  
Luiz Gallisa Guimarães
Keyword(s):  
Shallow Water ◽  
Normal Mode ◽  
Source Localization ◽  
Acoustic Modeling ◽  
Acoustic Source ◽  
Propagation Models ◽  
Matched Field Processing ◽  
Acoustic Source Localization ◽  
Long Time ◽  
Processing Techniques

ABSTRACT. Underwater source localization based on acoustic modeling has been a subject of intensive research since a long time. In the case of shallow water scenarios (which are characterized by multilayered bottoms) normal-mode based acoustic propagation models are often combined with Matched-Field Processing techniques in order to provide accurate estimates of both source range and depth...Keywords: underwater acoustic modeling, ray-based models, normal mode models. RESUMO. A localização de fontes submarinas por meio de modelos de propagação acústica é um antigo problema de grande interesse científico. Em cenários deáguas rasas, que se caracterizam normalmente por fundos com complexos sistemas multicamadas, os modelos de propagação baseados na teoria de modos normais são geralmente combinados com técnicas de Processamento por Campo Casado para...Palavras-chave: modelagem ac´ustica submarina, modelos de raios, modelos de modos normais.

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