A feature-based data association method for multiple acoustic source localization in a distributed microphone array

2021 ◽  
Vol 149 (1) ◽  
pp. 612-628
Author(s):  
Xudong Dang ◽  
Hongyan Zhu
Keyword(s):  
Source Localization ◽  
Microphone Array ◽  
Data Association ◽  
Acoustic Source ◽  
Acoustic Source Localization ◽  
Feature Based ◽  
Association Method

Acoustic source localization using drone-embedded microphone array

2019 ◽  
Vol 146 (4) ◽  
pp. 3058-3059
Author(s):  
Mateusz Guzik ◽  
Konrad Kowalczyk ◽  
Szymon Woźniak ◽  
Mieszko Fraś ◽  
Klara Juros ◽  
...  
Keyword(s):  
Source Localization ◽  
Microphone Array ◽  
Acoustic Source ◽  
Acoustic Source Localization

Research on Acoustic Source Localization Technology Based on Cross-Correlation

2013 ◽  
Vol 819 ◽  
pp. 244-248
Author(s):  
Zhi Jiang Xie ◽  
Hai Zeng ◽  
Ping Chen
Keyword(s):  
Source Localization ◽  
Cross Correlation ◽  
Microphone Array ◽  
Noise Signal ◽  
Acoustic Source ◽  
Localization Accuracy ◽  
Correlation Algorithm ◽  
Acoustic Source Localization ◽  
Narrowband Signal ◽  
Improved Accuracy

In order to realize acoustic source localization, we proposed to use microphone array and time delay based on crosscorrelation algorithm,and analyzed the factors to influence the locating accuracy, and established a realtime acoustic source localizationsystem on the NI CompactRIO system. By experiments, cross-correlation algorithm for wideband signal(sweep signal, noise signal) localization is more accurate, for narrowband signal (organ signal) localization is less significant. After analyzed factors to influence the localization accuracy, we improved sound source system, and the factors that affected the organ signal localization is verified by experiment , and improved accuracy of narrowband signal localization .

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