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Generic uniform search grid generation algorithm for far-field source localization.

JeeSok Lee1, Soo-Whan Chung1, Hong-Goo Kang1

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A new algorithm generates search grids for source localization (SL) by evenly distributing a desired number of points. This method offers better control over grid point distribution compared to conventional approaches for improved SL processing.

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Area of Science:

  • Signal Processing
  • Acoustics
  • Array Signal Processing

Background:

  • Far-field source localization (SL) is crucial in various applications.
  • Conventional grid generation methods for SL lack control over the number of distributed grid points.
  • Uniform grid structures primarily focus on resolution, not point distribution control.

Purpose of the Study:

  • To propose a generic search grid generation algorithm for far-field source localization.
  • To enable precise control over the number of grid points in SL.
  • To develop a flexible grid generation method adaptable to different domains.

Main Methods:

  • A novel algorithm for generating search grids is presented.
  • The algorithm distributes a user-defined number of points evenly within a specified domain.
  • Distribution is based on target criteria in either direction of arrival (DOA) or time difference of arrival (TDOA) domains.

Main Results:

  • The proposed algorithm successfully generates optimally distributed grid points.
  • Experimental results validate the algorithm's effectiveness in controlling grid point density.
  • The method provides a desired number of grid points tailored to the SL processing domain.

Conclusions:

  • The developed algorithm offers a superior approach to search grid generation for SL.
  • It provides enhanced control over grid point distribution, essential for efficient SL.
  • This generic algorithm is adaptable for various SL scenarios utilizing DOA or TDOA information.