When multiple active sonars, such as dolphins, bats, or mobile robots, interrogate the environment simultaneously, one view is that each sonar considers the signals produced by the others to be interference, while another view is that these signals contain useful information. A listening sonar can typically detect the time delay between another sonar’s interrogation emission and its corresponding echo from an object and possibly also the emission and echo directions. This letter first shows that, even if the directions of these two signals and relative delays are known, determining the object location is an ill-posed problem, supporting the interference view. It then shows the time delay alone provides useful information, indicating that no echo-producing object can be closer than a perceived minimum range. Echoes from specular surfaces provide similar information but also require self echolocation to refine the range estimate. Experimental acoustic waveforms illustrate the approach. The results indicate that traveling in fixed formation and emitting identifiable echolocation sounds faciliate cooperative echolocation by biological sonars.
Skip Nav Destination
Article navigation
November 2002
October 25 2002
Object localization from acoustic emissions produced by other sonars (L)
Roman Kuc
Roman Kuc
Intelligent Sensors Laboratory, Department of Electrical Engineering, Yale University, New Haven, Connecticut 06520-8284
Search for other works by this author on:
J. Acoust. Soc. Am. 112, 1753–1755 (2002)
Article history
Received:
February 15 2002
Accepted:
August 01 2002
Citation
Roman Kuc; Object localization from acoustic emissions produced by other sonars (L). J. Acoust. Soc. Am. 1 November 2002; 112 (5): 1753–1755. https://doi.org/10.1121/1.1508792
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
Citing articles via
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Recommendations on bioacoustical metrics relevant for regulating exposure to anthropogenic underwater sound
Klaus Lucke, Alexander O. MacGillivray, et al.
Related Content
Acoustic diffraction by an impedance covered half plane
J Acoust Soc Am (August 2005)
Biomimetic sonar recognizes objects using binaural information
J Acoust Soc Am (August 1997)
Acoustic flow perception in cf-bats: Extraction of parameters
J Acoust Soc Am (September 2000)
The effect of climate on acoustic signals: Does atmospheric sound absorption matter for bird song and bat echolocation?
J. Acoust. Soc. Am. (February 2012)
Simulation of a group of rangefinders adapted to alterations of measurement angle
AIP Conference Proceedings (January 2017)