Accession Number : ADD018592
Title : Phase Detection Using Neural Networks.
Descriptive Note : Patent Application, Filed 10 Mar 97,
Corporate Author : DEPARTMENT OF THE NAVY WASHINGTON DC
Personal Author(s) : DeAngelis, Christopher ; Higgins, Robert C
PDF Url : ADD018592
Report Date : 10 Mar 1997
Pagination or Media Count : 20
Abstract : A likelihood of detecting a reflected signal characterized by phase discontinuities and background noise is enhanced by utilizing neural networks to identify coherency intervals. The received signal is processed into a predetermined format such as a digital time series. Neural networks perform different tests over arbitrary testing intervals to determine the likelihood of a phase discontinuity occurring in any such interval. An integration time generator subsequently uses this information to define a series of contiguous coherency intervals over the duration of the received signal. These coherency intervals are then used for piece-wise processing of the received signal by parallel quadrature receivers. The outputs are combined and processed for detecting the presence of the reflected signal.
Descriptors : *NEURAL NETS, *PHASE DETECTORS, DIGITAL SYSTEMS, TIME SERIES ANALYSIS, REFLECTION, INTEGRATION, SIGNALS, RECEIVERS, PARALLEL ORIENTATION, GENERATORS, DISCONTINUITIES, BACKGROUND NOISE
Subject Categories : Anatomy and Physiology
Electrical and Electronic Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE