By Topic

Self-initiating MUSIC-based direction finding in underwater acoustic particle velocity-field beamspace

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wong, K.T. ; Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong ; Zoltowski, M.D.

This paper introduces a novel blind MUSIC-based (MUltiple SIgnal Classification) source localization algorithm applicable to an arbitrarily spaced three-dimensional array of vector hydrophones, each of which comprises two or more co-located and orthogonally oriented velocity hydrophones plus an optional pressure hydrophone. This proposed algorithm: (1) exploits the incident sources' angular diversity in the underwater acoustic particle velocity field; (2) adaptively forms velocity-field beams at each vector-hydrophone; (3) uses ESPRIT to self-generate coarse estimates of the sources' arrival angles to start off its MUSIC-based iterative search with no a priori source information; and (4) automatically pairs the x-axis direction-cosine estimates with the y-axis direction-cosine estimates. Simulation results verify the efficacy of this proposed scheme.

Published in:

Oceanic Engineering, IEEE Journal of  (Volume:25 ,  Issue: 2 )