A Technique for Improving Detection and Estimation of Signals Contaminated by Under Ice Noise.

Recent analyses of FRAM II arctic data have shown that under ice ambient noise can be at times highly impulsive and non-Gaussian. The analyses included time domain statistical measurements which were consistent with previously reported results of experiments made within the Canadian Arctic Archipela...

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Bibliographic Details
Main Author: Dwyer,Roger F
Other Authors: NAVAL UNDERWATER SYSTEMS CENTER NEW LONDON CT NEW LONDON LAB
Format: Text
Language:English
Published: 1982
Subjects:
Acoustic Detection and Detectors
Acoustics
*Ambient noise
Underwater sound
Underice
Statistical analysis
Frequency
Underwater sound signals
Detection
Signal processing
*Nongaussian noise
Frequency domain
Partitioning
LPN-NUSC-A75030
Arctic
Canadian Arctic Archipelago
Arctic Archipelago
Online Access:http://www.dtic.mil/docs/citations/ADA116986
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA116986
Description
Summary:Recent analyses of FRAM II arctic data have shown that under ice ambient noise can be at times highly impulsive and non-Gaussian. The analyses included time domain statistical measurements which were consistent with previously reported results of experiments made within the Canadian Arctic Archipelago. New findings of frequency domain estimates of complex skew and kurtosis and cumulative distribution functions, measured in 2, 6, and 10 Hz resolution cells at the output of a discrete Fourier transform, also indicate the existence of strong non-Gaussian noise. It is known that the ability to detect and estimate signals contaminated with non-Gaussian noise using conventional processing is degraded compared with optimum techniques which utilize knowledge of the noise statistics. Results comparing the performance of conventional and nearly optimum signal processing methods are presented using the FRAM II data. (Author)

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