NDLI: Spatial smoothing and minimum variance beamforming on data from large aperture vertical line arrays

Content Provider	IEEE Xplore Digital Library
Author	Tran, J.-M.Q.D. Hodgkiss, W.S.
Copyright Year	1976
Abstract	Various approaches to the beamforming of data from large aperture vertical line arrays are investigated. Attention is focused on the conventional beamforming problem where the angular power spectrum is estimated, in this case by the adaptive minimum variance processor. The data to be processed are 200 Hz CW transmissions collected at sea by a 900 m vertical line array with 120 equally spaced sensors. Correlated multipath arrivals result in signal cancellation for the adaptive processor, and spatial smoothing techniques must be used prior to beamforming. The processing of subapertures is proposed. Full aperture and subaperture processing techniques are used on the 200 Hz data. Multipath arrivals are found to illuminate only parts of the array, thus indicating that the wavefield can be highly inhomogeneous with depth.<>
Sponsorship	IEEE Oceanic Engineering Society
Starting Page	15
Ending Page	24
Page Count	10
File Size	1072083
File Format	PDF
ISSN	03649059
Volume Number	18
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smoothing methods Array signal processing Apertures Sensor arrays Signal processing Laboratories Covariance matrix Time factors Narrowband Spatial filters
Content Type	Text
Resource Type	Article
Subject	Ocean Engineering Mechanical Engineering Electrical and Electronic Engineering

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