scholarly journals A Robust Steered Response Power Localization Method for Wireless Acoustic Sensor Networks in an Outdoor Environment

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1591
Author(s):  
Yiwei Huang ◽  
Jianfei Tong ◽  
Xiaoqing Hu ◽  
Ming Bao
Keyword(s):  
Sensor Networks ◽  
Source Localization ◽  
Cross Correlation ◽  
Field Experiments ◽  
Outdoor Environment ◽  
Sufficient Condition ◽  
Localization Method ◽  
Acoustic Sensor Networks ◽  
Band Pass ◽  
Spatial Grids

The localization of outdoor acoustic sources has attracted attention in wireless sensor networks. In this paper, the steered response power (SRP) localization of band-pass signal associated with steering time delay uncertainty and coarser spatial grids is considered. We propose a modified SRP-based source localization method for enhancing the localization robustness in outdoor scenarios. In particular, we derive a sufficient condition dependent on the generalized cross-correlation (GCC) waveform function for robust on-grid source localization and show that the SRP function with GCCs satisfying this condition can suppress the disturbances induced by the grid distance and the uncertain steering time delays. Then a GCC refinement procedure for band-pass GCCs is designed, which uses complex wavelet functions in multiple sub-bands to filter the GCCs and averages the envelopes of the filtered GCCs as the equivalent GCC to match the sufficient condition. Simulation results and field experiments demonstrate the excellent performance of the proposed method against the existing SRP-based methods.

scholarly journals A Survey of Sound Source Localization Methods in Wireless Acoustic Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-24 ◽  
Author(s):  
Maximo Cobos ◽  
Fabio Antonacci ◽  
Anastasios Alexandridis ◽  
Athanasios Mouchtaris ◽  
Bowon Lee
Keyword(s):  
Sensor Networks ◽  
Source Localization ◽  
Spatial Location ◽  
Time Of Arrival ◽  
Suitable Model ◽  
Acoustic Sensor ◽  
Acoustic Sensing ◽  
General Terms ◽  
Acoustic Sensor Networks ◽  
Acoustic Sources

Wireless acoustic sensor networks (WASNs) are formed by a distributed group of acoustic-sensing devices featuring audio playing and recording capabilities. Current mobile computing platforms offer great possibilities for the design of audio-related applications involving acoustic-sensing nodes. In this context, acoustic source localization is one of the application domains that have attracted the most attention of the research community along the last decades. In general terms, the localization of acoustic sources can be achieved by studying energy and temporal and/or directional features from the incoming sound at different microphones and using a suitable model that relates those features with the spatial location of the source (or sources) of interest. This paper reviews common approaches for source localization in WASNs that are focused on different types of acoustic features, namely, the energy of the incoming signals, their time of arrival (TOA) or time difference of arrival (TDOA), the direction of arrival (DOA), and the steered response power (SRP) resulting from combining multiple microphone signals. Additionally, we discuss methods not only aimed at localizing acoustic sources but also designed to locate the nodes themselves in the network. Finally, we discuss current challenges and frontiers in this field.

Design and Assessment of Sound Source Localization System with a UAV-Embedded Microphone Array

2017 ◽  
Vol 29 (1) ◽  
pp. 154-167 ◽  
Author(s):  
Kotaro Hoshiba ◽  
◽  
Osamu Sugiyama ◽  
Akihide Nagamine ◽  
Ryosuke Kojima ◽  
...  
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Outdoor Environment ◽  
Sound Source Localization ◽  
Detection Accuracy ◽  
Localization Method ◽  
Localization System ◽  
Target Sound ◽  
Sound Environment

[abstFig src='/00290001/15.jpg' width='300' text='Visualization of localization result' ] We have studied on robot-audition-based sound source localization using a microphone array embedded on a UAV (unmanned aerial vehicle) to locate people who need assistance in a disaster-stricken area. A localization method with high robustness against noise and a small calculation cost have been proposed to solve a problem specific to the outdoor sound environment. In this paper, the proposed method is extended for practical use, a system based on the method is designed and implemented, and results of sound source localization conducted in the actual outdoor environment are shown. First, a 2.5-dimensional sound source localization method, which is a two-dimensional sound source localization plus distance estimation, is proposed. Then, the offline sound source localization system is structured using the proposed method, and the accuracy of the localization results is evaluated and discussed. As a result, the usability of the proposed extended method and newly developed three-dimensional visualization tool is confirmed, and a change in the detection accuracy for different types or distances of the sound source is found. Next, the sound source localization is conducted in real-time by extending the offline system to online to ensure that the detection performance of the offline system is kept in the online system. Moreover, the relationship between the parameters and detection accuracy is evaluated to localize only a target sound source. As a result, indices to determine an appropriate threshold are obtained and localization of a target sound source is realized at a designated accuracy.

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