Performance of the PHILTRE Processor at Low Signal-to-Noise Ratios

In this report it is shown that a non-linear, adaptive processor called PHILTRE is useful in detecting long-period Rayleigh waves in various low signal-to-noise ratio situations: signals buried in noise at various levels, two signals mixed at various azimuths and relative amplitudes, and a suite of...

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Bibliographic Details
Main Authors: Sobel, P A, Von Seggern, D H
Other Authors: TELEDYNE GEOTECH ALEXANDRIA VA SEISMIC DATA ANALYSIS CENTER
Format: Text
Language:English
Published: 1975
Subjects:
Seismology
Seismic Detection and Detectors
*SEISMIC DETECTION
*SEISMIC WAVES
*SIGNAL PROCESSING
ADAPTIVE SYSTEMS
NONLINEAR SYSTEMS
RAYLEIGH WAVES
SEISMIC ARRAYS
SIGNAL TO NOISE RATIO
Vela Uniform
Seismic discrimination
Adaptive filters
PHILTRE processor
Alpa
Kamchatka
Online Access:http://www.dtic.mil/docs/citations/ADA016537
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA016537
Description
Summary:In this report it is shown that a non-linear, adaptive processor called PHILTRE is useful in detecting long-period Rayleigh waves in various low signal-to-noise ratio situations: signals buried in noise at various levels, two signals mixed at various azimuths and relative amplitudes, and a suite of visually undetected signals at LASA, ALPA, and NORSAR from the Kurils-Kamchatka region. PHILTRE lowered the detection threshold for Rayleigh waves buried in noise by about 6 dB. It was able to separate two signals if their azimuthal spearation was greater than 60 degrees and if at the same time the amplitude of the second signal was at least 20 percent of the amplitude of the first signal. It lowered Rayleigh-wave 50% detection thresholds by roughly 0.2 (m sub b) unit at the three long-period arrays.

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