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Background Structure Functions, a Ba...

Kobold, Michael C.,

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Background Structure Functions, a Basis to Reduce Acoustic Power Requirements and Improve Images /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Background Structure Functions, a Basis to Reduce Acoustic Power Requirements and Improve Images // Michael C Kobold.
Author:	Kobold, Michael C.,
Description:	1 electronic resource (239 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Contained By:	Dissertations Abstracts International85-11B.
Subject:	Ocean engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31146667
ISBN:	9798382594545

Background Structure Functions, a Basis to Reduce Acoustic Power Requirements and Improve Images /
Kobold, Michael C.,

Background Structure Functions, a Basis to Reduce Acoustic Power Requirements and Improve Images /Michael C Kobold. - 1 electronic resource (239 pages)

Source: Dissertations Abstracts International, Volume: 85-11, Section: B.

Background Structure Functions (BSFs) are wavefront distortion metrics, functions of Sound Speed Profiles (SSPs) that are functions of depth. Use of these BSFs is a synthesis form of Matched Field Processing (MFP) that detects signals that are otherwise lost to receivers. Underwater Acoustics (UWA) can use these models to forecast communication and imaging performance and to reduce power radiated into the sea. This reduction of Transmission Loss (TL) occurs because the commercial wavefront control has an input format that accepts BSFs. The BSF plots represent the purely statistical distortion for communications and remote sensing. Another source of TL reduction comes from the enclosed BSF-based phase and phase variance forecasting that protects equalizers from losing phase-lock. Protecting the equalizers protects the Signal To Noise (SNR) ratios. This dissertation derives the UWA version of these metrics and applies them to the following locations of our SSPs: The BSFs use measured, corrected, and verified SSP groups for 132 different locations in the Atlantic Ocean and the Gulf of Mexico from a Navy Ocean Atlas, as well as 64 SSPs in two areas in the littorals, Port Everglades, and Saint Andrew Bay, plus tidal variations. Since BSFs digitize the propagation into one or more segments, our purely statistical phase screen model uses only 3 or 4 degrees of freedom (DOFs) per segment compared to many dozen DOFs for conventional structure functions. The BSFs forecast communications and imaging performance, including range, in locations where acoustic measurements are not available, but SSPs are. A separate algorithm forecasts Gouy phase anomalies from background SSPs, which otherwise requires a priori knowledge of anomaly location and use of Catastrophe theory due to ray theory failure at focuses. Avoiding these anomalies and loss of Phase-Locked Loops (PLLs) also helps maintain SNR and lowers transmission power requirements. Combining with phase parameters and performance forecasts improves UWA propagation efficiency using the background (SSPs). In a spatial version of delay equalization, BSF analysis also produces the enclosed Shear Distortion Ratios (SDRs) for the same locations mentioned above, to allow optimum selection of image enhancement algorithms that mitigate image shear distortion.

English

ISBN: 9798382594545Subjects--Topical Terms:

660731
Ocean engineering.
Subjects--Index Terms:

Acoustic propagation

Background Structure Functions, a Basis to Reduce Acoustic Power Requirements and Improve Images /
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500 $a Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
500 $a Advisors: Beaujean, Pierre-Philippe J. Committee members: Dhanak, Manhar; An, Pak-Cheung; Presuel-Moreno, Francisco.
502 $b Ph.D. $c Florida Atlantic University $d 2024.
520 $a Background Structure Functions (BSFs) are wavefront distortion metrics, functions of Sound Speed Profiles (SSPs) that are functions of depth. Use of these BSFs is a synthesis form of Matched Field Processing (MFP) that detects signals that are otherwise lost to receivers. Underwater Acoustics (UWA) can use these models to forecast communication and imaging performance and to reduce power radiated into the sea. This reduction of Transmission Loss (TL) occurs because the commercial wavefront control has an input format that accepts BSFs. The BSF plots represent the purely statistical distortion for communications and remote sensing. Another source of TL reduction comes from the enclosed BSF-based phase and phase variance forecasting that protects equalizers from losing phase-lock. Protecting the equalizers protects the Signal To Noise (SNR) ratios. This dissertation derives the UWA version of these metrics and applies them to the following locations of our SSPs: The BSFs use measured, corrected, and verified SSP groups for 132 different locations in the Atlantic Ocean and the Gulf of Mexico from a Navy Ocean Atlas, as well as 64 SSPs in two areas in the littorals, Port Everglades, and Saint Andrew Bay, plus tidal variations. Since BSFs digitize the propagation into one or more segments, our purely statistical phase screen model uses only 3 or 4 degrees of freedom (DOFs) per segment compared to many dozen DOFs for conventional structure functions. The BSFs forecast communications and imaging performance, including range, in locations where acoustic measurements are not available, but SSPs are. A separate algorithm forecasts Gouy phase anomalies from background SSPs, which otherwise requires a priori knowledge of anomaly location and use of Catastrophe theory due to ray theory failure at focuses. Avoiding these anomalies and loss of Phase-Locked Loops (PLLs) also helps maintain SNR and lowers transmission power requirements. Combining with phase parameters and performance forecasts improves UWA propagation efficiency using the background (SSPs). In a spatial version of delay equalization, BSF analysis also produces the enclosed Shear Distortion Ratios (SDRs) for the same locations mentioned above, to allow optimum selection of image enhancement algorithms that mitigate image shear distortion.
546 $a English
590 $a School code: 0119
650 4 $a Ocean engineering. $3 660731
650 4 $a Acoustics. $3 879105
650 4 $a Technical communication. $3 3172863
650 4 $a Applied physics. $3 3343996
653 $a Acoustic propagation
653 $a Gouy phase
653 $a Phase screen
653 $a Phase variance
653 $a Sound speed profiles
653 $a Structure functions
690 $a 0547
690 $a 0986
690 $a 0643
690 $a 0215
710 2 $a Florida Atlantic University. $b Ocean Engineering. $e degree granting institution. $3 3816827
720 1 $a Beaujean, Pierre-Philippe J. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 85-11B.
790 $a 0119
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31146667