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Grant: Alliance Grants

Memorial University of Newfoundland

$22,923.00

Development of split-beam sonar processing methods

FY 2022-23

Summary
Acoustic methods used to evaluate fish size and distribution are an important component of fisheries management and oceanographic research studies. Except for some specialised applications, acoustic methods use echosounder systems that are deployed from ships to sample a survey pattern in some area of the ocean. Deployment from ships has been required because acoustic survey instrumentation consumes a lot of power and collects large quantities of data. However, over the last 10 years, ASL Environmental Sciences Inc. (ASL) has developed low power acoustic instrumentation with large recording capacity suitable for use in a self-contained package. This capability opens up two new revolutionary survey possibilities: long-term monitoring from fixed locations that are far from shore or are not easily accessible (for example under ice) and; the ability to undertake surveys using small autonomous vehicles. The proposed project will capitalise on that capability to enable fish detection in their acoustic systems by incorporating "split-beam" sonar processing. With split-beam sonar, the acoustic beam used to probe the water is divided into four quadrants which makes it possible to identify the angular position of a target in addition to its range. That additional information makes it possible to make measurements of fish size and to track fish behaviour. The project involves the development of new acoustic hardware and signal processing software suitable for operating in a self-contained autonomous package. In addition to the hardware developments, computer simulations of sonar operation will be used to explore optimal methods for signal processing. A series of field trials will be used to fine tune and demonstrate the capabilities of the approach. This research will optimize a revolutionary survey product for ASL and improve methods for extracting and understanding information contained in sonar data - advancements with potential economic and environmental benefits to Canada.
Program
Alliance Grants
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
560255-2020
Name nom
Zedel, Leonard LJ
Department département
Physics and Physical Oceanography
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2020
Award amount
22923
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4602
Research subject group en
Oceanography
Research subject group fr
Océanographie
Research subject en
Biological oceanography
Research subject fr
Océanographie biologique
Installment
inst:3
Partie
1
Nb partie
3
Application title
Development of split-beam sonar processing methods
Application summary
Acoustic methods used to evaluate fish size and distribution are an important component of fisheries management and oceanographic research studies. Except for some specialised applications, acoustic methods use echosounder systems that are deployed from ships to sample a survey pattern in some area of the ocean. Deployment from ships has been required because acoustic survey instrumentation consumes a lot of power and collects large quantities of data. However, over the last 10 years, ASL Environmental Sciences Inc. (ASL) has developed low power acoustic instrumentation with large recording capacity suitable for use in a self-contained package. This capability opens up two new revolutionary survey possibilities: long-term monitoring from fixed locations that are far from shore or are not easily accessible (for example under ice) and; the ability to undertake surveys using small autonomous vehicles. The proposed project will capitalise on that capability to enable fish detection in their acoustic systems by incorporating "split-beam" sonar processing. With split-beam sonar, the acoustic beam used to probe the water is divided into four quadrants which makes it possible to identify the angular position of a target in addition to its range. That additional information makes it possible to make measurements of fish size and to track fish behaviour. The project involves the development of new acoustic hardware and signal processing software suitable for operating in a self-contained autonomous package. In addition to the hardware developments, computer simulations of sonar operation will be used to explore optimal methods for signal processing. A series of field trials will be used to fine tune and demonstrate the capabilities of the approach. This research will optimize a revolutionary survey product for ASL and improve methods for extracting and understanding information contained in sonar data - advancements with potential economic and environmental benefits to Canada.
Memorial University of Newfoundland - $22,923 Grant (… | Canada Spends