Acoustic Sensor Networks for Woodpecker Localization

  • Wang H
  • Chen C
  • Ali A
 et al. 
  • 20


    Mendeley users who have this article in their library.
  • 25


    Citations of this article.


Sensor network technology can revolutionize the study of animal ecology by providing a means of non-intrusive, simultaneous monitoring of interaction among multiple animals. In this paper, we investigate design, analysis, and testing of acoustic arrays for localizing acorn woodpeckers using their vocalizations. Each acoustic array consists of four microphones arranged in a square. All four audio channels within the same acoustic array are finely synchronized within a few micro seconds. We apply the approximate maximum likelihood (AML) method to synchronized audio channels of each acoustic array for estimating the direction-of-arrival (DOA) of woodpecker vocalizations. The woodpecker locationis estimated by applyingleast square (LS) methods to DOA bearing crossings of multiple acoustic arrays. We have revealed the critical relation between microphone spacing of acoustic arrays and robustness of beamforming of woodpecker vocalizations. Woodpecker localization experiments using robust array element spacing in different types of environments are conducted and compared. Practical issues about calibration of acoustic array orientation are also discussed.

Author-supplied keywords

  • acorn woodpecker
  • acoustic beamforming
  • acoustic localization
  • calibration
  • ecological monitoring
  • robust doa estimation
  • sensor
  • sensor networks

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text


  • H. Wang

  • C. E. Chen

  • A. Ali

  • S. Asgari

  • R. E. Hudson

  • K. Yao

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free