Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach

Thumbnail image of item number 1 in: 'Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach'.
Thumbnail image of item number 2 in: 'Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach'.
Thumbnail image of item number 3 in: 'Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach'.
Thumbnail image of item number 4 in: 'Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach'.
Showing 1-4 of 8 pages in this article.

PDF Version Also Available for Download.

Description

Noise self-generated by a surface ship towing an array in search of a weak target presents a major problem for the signal processing especially if broadband techniques are being employed. In this paper we discuss the development and application of an adaptive noise canceling processor capable of extracting the weak far-field acoustic target in a noisy ocean acoustic environment. The fundamental idea for this processor is to use a model-based approach incorporating both target and ship noise. Here we briefly describe the underlying theory and then demonstrate through simulation how effective the canceller and target enhancer perform. The adaptivity of ... continued below

Physical Description

8 p. (0.3 MB)

Creation Information

Sullivan, E J & Candy, J V July 21, 2005.

Context

This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Authors

Sponsor

Publisher

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

About | Browse this Partner

Contact Us

Corrections Questions

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Description

Noise self-generated by a surface ship towing an array in search of a weak target presents a major problem for the signal processing especially if broadband techniques are being employed. In this paper we discuss the development and application of an adaptive noise canceling processor capable of extracting the weak far-field acoustic target in a noisy ocean acoustic environment. The fundamental idea for this processor is to use a model-based approach incorporating both target and ship noise. Here we briefly describe the underlying theory and then demonstrate through simulation how effective the canceller and target enhancer perform. The adaptivity of the processor not only enables the ''tracking'' of the canceller coefficients, but also the estimation of target parameters for localization. This approach which is termed ''joint'' cancellation and enhancement produces the optimal estimate of both in a minimum (error) variance sense.

Physical Description

8 p. (0.3 MB)

Notes

PDF-file: 8 pages; size: 0.3 Mbytes

Subjects

Keywords

STI Subject Categories

Source

  • Presented at: MTS/IEEE Oceans 2005 Conference, Washington, DC, United States, Sep 19 - Sep 23, 2005

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

  • Report No.: UCRL-CONF-214610
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 877800
  • Archival Resource Key: ark:/67531/metadc877545

Collections

This article is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

About | Browse this Collection

What responsibilities do I have when using this article?

Digital Files

When

Dates and time periods associated with this article.

Creation Date

  • July 21, 2005

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

Description Last Updated

  • April 17, 2017, 1:34 p.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 5
More Statistics

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

Thumbnail image of item number 1 in: 'Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach'.
Thumbnail image of item number 2 in: 'Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach'.
Thumbnail image of item number 3 in: 'Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach'.
Thumbnail image of item number 4 in: 'Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach'.

PDF Version Also Available for Download.

Citations, Rights, Re-Use

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Sullivan, E J & Candy, J V. Enhanced Processing for a Towed Array Using an Optimal Noise Canceling Approach, article, July 21, 2005; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc877545/: accessed November 14, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.