NDLI: Modern computing technology applied to underwater acoustic positioning systems

Content Provider	IEEE Xplore Digital Library
Author	Deveau, J.E.
Copyright Year	1995
Description	Author affiliation: Nautronix Inc., San Diego, CA, USA (Deveau, J.E.)
Abstract	Two of the enabling technologies of the 90s, graphical user interfaces (GUIs) and digital signal processing (DSP), are being applied to underwater acoustic positioning systems. The industry-standard IBM PC computing hardware architecture running the Microsoft Windows operating system and GUI provides designers of acoustic positioning systems with a low-cost, yet powerful, system architecture for the processing of user input and the presentation of positioning data. The popularity of MS Windows almost guarantees that a user interface designed around it will have a familiar "look and feel" to potential users, providing for a system which is easier to learn and use than found in the past. Digital signal processing provides a powerful, flexible, and low-cost means by which to perform acoustic signal detection. The Nautronix RS910 series Ultra-short Baseline/Long Baseline Acoustic Positioning System uses embedded DSPs to perform acoustic signal processing and an industrial PC running MS Windows to perform user interface and data storage functions. Designed as the successor to the Honeywell RS900 series systems, the RS910 replaces the analog signal processing system with a much more flexible DSP-based system.
Starting Page	167
Ending Page	174
File Size	685556
Page Count	8
File Format	PDF
ISBN	0933957149
DOI	10.1109/OCEANS.1995.526767
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Underwater acoustics Digital signal processing Graphical user interfaces Computer architecture User interfaces Acoustic signal processing Computer industry Hardware Operating systems Acoustic signal detection
Content Type	Text
Resource Type	Article

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