Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Optimum multi-target detection using an ANC neuro-fuzzy scheme and wideband replica correlator

Tools
- Tools
+ Tools

Tseng, Chien-Hsun and Cole, Marina (2009) Optimum multi-target detection using an ANC neuro-fuzzy scheme and wideband replica correlator. In: IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, April 19-24, 2009. Published in: 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vols.1- 8, Proceedings pp. 1369-1372. ISBN 978-1-4244-2353-8. doi:10.1109/ICASSP.2009.4959847 ISSN 1520-6149.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1109/ICASSP.2009.4959847

Request Changes to record.

Abstract

An. optimum target detection algorithm is developed for underwater active wideband sonar signal in the presence of reverberation and ambient noise. The hybrid algorithm makes use of an adaptive ANC neuro-fuzzy scheme in the first instance to provide an effective fine tuned signal followed by an iterative cross correlation-based target motion estimation (TME) scheme for efficient target detection. Computer simulations based on real input data sets demonstrate capability and efficiency of the proposed hybrid algorithm in extracting even zero-Doppler target signals from a highly reverberate noisy environment.

Item Type: Conference Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Series Name: International Conference on Acoustics Speech and Signal Processing (ICASSP)
Journal or Publication Title: 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vols.1- 8, Proceedings
Publisher: IEEE
ISBN: 978-1-4244-2353-8
ISSN: 1520-6149
Official Date: 2009
Dates:
DateEvent
2009Published
Number of Pages: 4
Page Range: pp. 1369-1372
DOI: 10.1109/ICASSP.2009.4959847
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: IEEE International Conference on Acoustics, Speech and Signal Processing
Type of Event: Conference
Location of Event: Taipei, Taiwan
Date(s) of Event: April 19-24, 2009

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us