NDLI: Evidence for acoustic imaging capability in a bottlenose dolphin

Content Provider	IEEE Xplore Digital Library
Author	Altes, R.A. Dankiewicz, L.A. Moore, P.W. Helweg, D.A.
Copyright Year	2003
Description	Author affiliation: Chirp Corp., La Jolla, CA, USA (Altes, R.A.)
Abstract	A necessary condition for acoustic imaging (e.g., synthetic aperture sonar processing) is the capability to sum echo samples from the same point in the environment over different signal-echo pairs. To decide whether a dolphin has this capability, a limited number N of electronically simulated echoes with constant delay were transmitted back to an echolocating dolphin. The experiment was performed in San Diego Bay, which has a large indigenous population of snapping shrimp. The signal-to-noise ratio (SNR) of the simulated echoes was controlled by adding artificial Gaussian noise and by varying echo amplitude. If the dolphin is capable of SAS-like imaging, then the SNR required for detection should decrease as the number of available echoes N is increased. This phenomenon was indeed observed. The best receiver model for describing the dependence of SNR on N uses binary summation (an M-out-of-N detector). Binary summation is robust against the strong impulsive interference produced by snapping shrimp. The effect of binary summation on SAS-like processing is assessed by creating SAS images from binary-quantized data at the output of a broadband, dolphin-like sonar, and comparing these images to those obtained without binary quantization.
Sponsorship	Dept. of the Navy Sci. and Technol. Coalition for Enhanced Marine Resources Orincon Ceros Harbour Offshore Inc
Starting Page	611
Ending Page	618
File Size	561065
Page Count	8
File Format	PDF
ISBN	0933957300
DOI	10.1109/OCEANS.2003.178382
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	MTS
Subject Keyword	Acoustic imaging Dolphins Signal to noise ratio Synthetic aperture sonar Signal processing Delay Gaussian noise Detectors Robustness Interference
Content Type	Text
Resource Type	Article

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