@INPROCEEDINGS{4393830,
author={Wong, K.T. and Awad, M.K.},
journal={OCEANS 2006 - Asia Pacific}, title={Source Tracking with Multiple-Forgetting-Factor RLS Using a Vector-Hydrophone Away From or Near a Reflecting Boundary},
year={2006},
month={may.},
volume={},
number={},
pages={1 -4},
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={Multiple-Forgetting-Factor;RLS adaptive algorithm;recursive-least-squares;source tracking;underwater acoustics;vector-hydrophone technique;hydrophones;least squares approximations;maximum likelihood estimation;target tracking;underwater sound;},
doi={10.1109/OCEANSAP.2006.4393830},
ISSN={},}