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

Abstract

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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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1982
Accession Number
ADA116986

Entities

People

  • Roger F. Dwyer

Organizations

  • Naval Underwater Systems Center

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Ambient Noise
  • Computer Science
  • Data Analysis
  • Data Modeling
  • Data Sets
  • Detection
  • Detectors
  • Discrete Fourier Transforms
  • Distribution Functions
  • Electrical Engineering
  • False Alarms
  • Frequency
  • Frequency Domain
  • Gaussian Distributions
  • Gaussian Noise
  • Signal Processing
  • Time Domain

Fields of Study

  • Engineering

Readers

  • Acoustics.
  • Statistical inference.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.