Envelope of Correlation Used with Deconvolution and Reconvolution to Remove the Direct Arrival in a Multipath Environment

Separating overlapping direct and reflected arrivals, such as those propagated under pack ice from an acoustic source emitting frequency modulated sweep pulses, is a difficult problem in the analysis of high frequency arctic correlation data. To solve this problem, a correlation with the source puls...

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Bibliographic Details
Main Author: Wilson, M. A.
Other Authors: NAVAL OCEANOGRAPHIC AND ATMOSPHERIC RESEARCH LAB STENNIS SPACE CENTER MS
Format: Text
Language:English
Published: 1990
Subjects:
Snow
Ice and Permafrost
Acoustic Detection and Detectors
*UNDERWATER SOUND SIGNALS
*MULTIPATH TRANSMISSION
*SONAR SOUND ANALYZERS
CORRELATION
PULSES
ACOUSTIC SIGNALS
SEPARATION
ACOUSTICS
ARRIVAL
AMPLITUDE
OCEAN ENVIRONMENTS
ENVELOPE(SPACE)
CROSS CORRELATION
ARCTIC REGIONS
SOURCES
PACK ICE
COMPUTER PROGRAMS
PROPAGATION
DECONVOLUTION
PE62435N
WUDN496433
Arctic
Ice
permafrost
Online Access:http://www.dtic.mil/docs/citations/ADA222309
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA222309
Description
Summary:Separating overlapping direct and reflected arrivals, such as those propagated under pack ice from an acoustic source emitting frequency modulated sweep pulses, is a difficult problem in the analysis of high frequency arctic correlation data. To solve this problem, a correlation with the source pulse followed by a Hilbert transform is used to derive the envelope of correlation. This gives a reliable indication of the best cutoff time for separating multipath arrivals by a deconvolution followed by reconvolution. An added benefit from the software for the above cross correlation envelope is a plot of the relative amplitudes and arrival times for each propagation path. (jhd)

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