Sponsor
This research was supported under the Office of Naval Research, Marine Mammal and Biology Program.
Published In
The Journal Of The Acoustical Society Of America
Document Type
Post-Print
Publication Date
9-2016
Subjects
Echolocation -- Physiology, Sonar -- Analysis
Abstract
Odontocete echolocation clicks have been used as a preferred cue for density estimation using single-sensor data sets, requiring estimation of detection probability as a function of range. Many such clicks can be very broadband in nature, with 10-dB bandwidths of 20-40 kHz or more. Detection distances are not readily obtained from single-sensor data. Here, the average detection probability is estimated in a Monte Carlo simulation using the passive sonar equation along with transmission loss calculations to estimate the signal-to-noise ratio (SNR) of tens of thousands of click realizations. Continuous-wave (CW) analysis, i.e., single-frequency analysis, is inherent to basic forms of the passive sonar equation. Using CW analysis with the click's center frequency while disregarding its bandwidth has been shown to introduce bias into detection probabilities and hence to density estimates. In this study, the effects of highly broadband clicks on density estimates are further examined. The usage of transmission loss as an appropriate measure for calculating click SNR is also discussed. The main contributions from this research are (1) an alternative approach to estimate the average probability of detection of broadband clicks, and (2) understanding the effects of multipath clicks on population density estimates.
DOI
10.1121/1.4962753
Persistent Identifier
http://archives.pdx.edu/ds/psu/19325
Citation Details
Published as, Küsel, E. T., Siderius, M., & Mellinger, D. K. (2016). Single-sensor, cue-counting population density estimation: Average probability of detection of broadband clicks. The Journal Of The Acoustical Society Of America, 140(3), 1894.
Description
Copyright 2016 Acoustical Society of America. This is the author accepted manuscript .View the final published version online at: http://dx.doi.org/10.1121/1.4962753.