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Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array.

Yue Kan1, Pengfei Wang2, Fusheng Zha3

  • 1State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. kyh_7372@163.com.

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Summary
This summary is machine-generated.

A new US-GCC method enhances acoustic source localization accuracy at low sampling rates. This method improves time delay of arrival and source location estimation for portable systems.

Keywords:
five-element cross microphone arraygeneralized cross-correlation (GCC)interpolation factorpassive acoustic source localizationtime delay of arrival (TDOA)up-sampling (US)

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Area of Science:

  • Acoustics
  • Signal Processing
  • Embedded Systems

Background:

  • Accurate acoustic source localization is challenging for small, portable, multitasking micro-embedded systems operating at low sampling rates (<10 kHz).
  • Existing methods like generalized cross-correlation (GCC) struggle with precision under these constraints.

Purpose of the Study:

  • To propose and validate a modified GCC method, termed US-GCC, for improved acoustic source localization accuracy at low sampling rates.
  • To determine the optimal up-sampling (US) interpolation factor balancing localization accuracy and computational load.

Main Methods:

  • Developed the US-GCC method by integrating up-sampling (US) theory into the generalized cross-correlation (GCC) approach.
  • Derived the optimal interpolation factor for US based on localization computation time and standard deviation of target location estimations.
  • Designed and implemented a portable passive acoustic source localization platform with a five-element cross microphone array.

Main Results:

  • Simulations demonstrated that US-GCC with an interpolation factor of 15 reduced source location absolute errors by 1/15 to 1/12 compared to standard GCC at an 8 kHz sampling rate.
  • Experimental results from the portable platform confirmed accurate three-dimensional (3D) near-field target localization at low sampling rates.

Conclusions:

  • The proposed US-GCC method significantly enhances the accuracy of time delay of arrival (TDOA) and source localization in low sampling rate scenarios.
  • The developed portable platform validates the practical applicability and effectiveness of the US-GCC method for real-world acoustic localization tasks.