Title :
Source Tracking with Multiple-Forgetting-Factor RLS Using a Vector-Hydrophone Away From or Near a Reflecting Boundary
Author :
Wong, Kainam Thomas ; Awad, Mohamad Khattar
Author_Institution :
Waterloo Univ., Waterloo
Abstract :
A vector-hydrophone (a.k.a. acoustic vector-sensor) is composed of two or three spatially collocated but orthogonally oriented velocity-hydrophones, possibly plus a collocated pressure-hydrophone. A vector-hydrophone may form azimuth-elevation spatial beams that are invariant with respect to the sources´ frequencies, bandwidths and radial locations (i.e., in near field as opposed to the far field). This paper adopts a multiple-forgetting-factor recursive-least-squares (RLS) adaptive algorithm to a single vector-hydrophone for source tracking, without needing any prior knowledge of the source power and/or the noise powers.
Keywords :
hydrophones; least squares approximations; maximum likelihood estimation; target tracking; underwater sound; Multiple-Forgetting-Factor; RLS adaptive algorithm; recursive-least-squares; source tracking; underwater acoustics; vector-hydrophone technique; Acoustic measurements; Acoustical engineering; Bandwidth; Frequency; Marine vehicles; Pressure measurement; Resonance light scattering; Sea measurements; Sonar equipment; Velocity measurement;
Conference_Titel :
OCEANS 2006 - Asia Pacific
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0137-6
Electronic_ISBN :
978-1-4244-0138-3
DOI :
10.1109/OCEANSAP.2006.4393830