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Fuzzy based algorithm for acoustic source localization using array of microphones

Faraji, M. M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/IranianCEE.2017.7985407
  3. Abstract:
  4. This paper focuses on localizing acoustic source using fuzzy logic. For this purpose, an array of microphones are used as sensors. The Time Delay Estimation (TDE) is performed by correlation between received signals from each pair of microphones. In this paper, instead of assuming a crisp value as a TDOA, we introduce fuzzy number of TDOA in which the absolute value of the cross correlation function is normalized and then assumed as TDOA membership function for each pair of microphones. Truth value of presenting acoustic source is computed in region of interest based on achieved TDOA membership functions. Computing this truth value is represented in this paper based on fuzzy logic. The location of acoustic source can be equivalent to the point where truth value of acoustic source presence reaches its maximum. At the end, simulation results show that utilizing fuzzy logic leads to robust acoustic source localizing in noisy environment comparing to other existing methods. © 2017 IEEE
  5. Keywords:
  6. Cross correlation ; Localizing acoustic source ; Microphone array ; TDE ; TDOA ; Acoustic noise measurement ; Acoustics ; Bioelectric phenomena ; Computation theory ; Computer circuits ; Fuzzy rules ; Fuzzy sets ; Image segmentation ; Membership functions ; Microphones ; Time difference of arrival ; Acoustic source localization ; Acoustic sources ; Cross correlations ; Cross-correlation function ; Fuzzy numbers ; Microphone arrays ; Region of interest ; Time delay estimation ; Fuzzy logic
  7. Source: 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, 2 May 2017 through 4 May 2017 ; 2017 , Pages 2102-2105 ; 9781509059638 (ISBN)
  8. URL: https://ieeexplore.ieee.org/document/7985407