NDLI: Detection and Tracking of Underwater Targets Using Directional Sensors

Content Provider	IEEE Xplore Digital Library
Author	Carevic, D.
Copyright Year	2007
Description	Author affiliation: DTSO, Rockingham (Carevic, D.)
Abstract	The PLM-MDAEM algorithm is proposed for multitarget detection and tracking in cluttered three dimensional (3-D) underwater environments. The measurements are time delays of arrival (TDOA) of passive transient signals. The (underwater) observer platform is modelled as consisting of a number of 3-D ideal geometric bodies. The receiving sensors used to derive the measurements are directional and are fixed onto the observer. By the PLM-MDAEM the measured data is assumed to contain only one target, and the measurements related to all other targets (the presence and/or number of which is not known) are modelled as clutter. The algorithm extracts targets from the measurements batch in a sequential manner as it maximises a set of partially modelled likelihood functions. A detection algorithm is applied to verify whether each motion parameter vector estimated in this way corresponds to a true target in the TDOA measurements batch. Simulation results are presented for a two-target tracking scenario.
Starting Page	143
Ending Page	148
File Size	262609
Page Count	6
File Format	PDF
ISBN	9781424415014
DOI	10.1109/ISSNIP.2007.4496834
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Target tracking Parameter estimation Delay effects Motion estimation Underwater tracking Time measurement Data mining Motion measurement Detection algorithms
Content Type	Text
Resource Type	Article

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