Optimizing transmit interval and logging range while avoiding aliased seabed echoes

Renfree, Josiah S.; Demer, David A.

doi:10.1093/icesjms/fsw055

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Optimizing transmit interval and logging range while avoiding aliased seabed echoes

2016
By Renfree, Josiah S. ; Demer, David A.
Source: ICES Journal of Marine Science, 73(8), 1955-1964

[PDF-1.08 MB]

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Journal Title:

ICES Journal of Marine Science
Personal Author:

Renfree, Josiah S. ; Demer, David A.

Renfree, Josiah S. ; Demer, David A. Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center) Less -
Description:

Echosounder surveys of fish and zooplankton are typically conducted using fixed values of the echosounder transmit-pulse (“ping”) interval and data-logging range. The transmit-pulse interval must be long enough to sample to the range of the farthest (deepest) species under study, potentially causing undersampling of closer (shallower) species. We present an algorithm to dynamically minimize both the logging range and transmit-pulse interval while ensuring that the logging range equals or exceeds the range to the seabed up to a chosen maximum data-logging range. The algorithm also allows avoidance of aliased seabed echoes (“false bottoms”) by adjusting the minimized transmit interval such that seabed reverberation from a previous transmission is not present in the data logged for an ensuing transmission. Additionally, periodic measures of ambient noise allow evaluations of signal quality and useful range. This optimization scheme (“adaptive logging”) effectively increases the horizontal resolution and signal-to-noise ratio of the data, and may reduce the total data volume and storage-space requirement. The efficacy of the adaptive logging algorithm is quantified using simulations. Furthermore, an example implementation of the algorithm is demonstrated for a commonly used scientific echosounder (Simrad EK60).
Keywords:

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Aquatic Science Ecology Ecology, Evolution, Behavior And Systematics Oceanography
Source:

ICES Journal of Marine Science, 73(8), 1955-1964
DOI:

https://doi.org/10.1093/icesjms/fsw055
ISSN:

1095-9289;1054-3139;
Format:

PDF
Publisher:

Oxford University Press (OUP)
Document Type:

Journal Article
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
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Library
Main Document Checksum:

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urn:sha-512:ff5a644cebfc1508ec26a3b2f7ff884306d9a07875b0ea2cdff8070db35adc385eb1cdbbfe09a1555ebf7145c8085ce4cf97c4357b9628c4f9ba733437b3fadc
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https://repository.library.noaa.gov/view/noaa/62964/noaa_62964_DS1.pdf
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Optimizing transmit interval and logging range while avoiding aliased seabed echoes

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