The neurally-inspired contact estimator (NICE)

Author

DeAngelis, Christopher M. ; Whitney, James E.

Author_Institution

Naval Undersea Warfare Center, Newport, RI, USA

Volume

3

fYear

1998

fDate

28 Sep-1 Oct 1998

Firstpage

1619

Abstract

The neurally-inspired contact estimator (NICE) is a signal processing system designed to perform target motion analysis, that is, source localization and tracking given a series of bearing observations. NICE is implemented using a custom neural network, which incorporates the characteristics of an object´s motion parameters into the network weights. In this paper the relative fit between NICE and conventional probability theory is analyzed

Keywords

correlation methods; direction-of-arrival estimation; motion estimation; neural nets; probability; sensor fusion; sonar signal processing; sonar tracking; target tracking; time series; assimilation subsystem; bearing observations; conventional probability theory; correlation; custom neural network; data fusion; hydrophone array; network weights; neurally-inspired contact estimator; relative fit; signal processing system; source localization; spatial simulation; target motion analysis; time series; tracking; virtual retina; Machine vision; Motion analysis; Motion estimation; Neural networks; Phased arrays; Radar tracking; Retina; Signal processing; Sonar equipment; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS '98 Conference Proceedings

Conference_Location

Nice

Print_ISBN

0-7803-5045-6

Type

conf

DOI

10.1109/OCEANS.1998.726362

Filename

726362