Detection, Classification, and Extraction of Helicopter-Radiated Noise.

Abstract

Surface ships operating in conjunction with supporting helicopters may experience sonar performance degradation due to the accompanying interference from helicopter-radiated noise. The interference manifests itself in the time domain as impulses due to blade vortex interactions and in the frequency domain as harmonic components from both the main and tail rotors. But these components are not pure sinusoids. In addition, they have non-Gaussian probability distributions. They appear to be caused by frequency modulation due to the rotating blades. The paper discusses detection and classification of helicopter-radiated noise from cumulative distribution function estimates, autocorrelation estimate, spectrum estimates, and from higher-order moment estimates. After the detection and classification problem is discussed a method to extract the interference by implementing a non-linearity in the frequency domain is presented. It is shown with real helicopter-radiated noise data that autocorrelation estimates can be improved by extracting the interfering components. The extracted components are also available as an enhanced time domain representation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 1984
Accession Number
ADA145993

Entities

People

  • R. F. Dwyer

Organizations

  • Naval Underwater Systems Center

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Ambient Noise
  • Broadband
  • Connecticut
  • Detection
  • Distribution Functions
  • Extraction
  • Frequency
  • Frequency Domain
  • Gaussian Distributions
  • Narrowband
  • Power Spectra
  • Probability
  • Probability Distributions
  • Radiated Noise
  • Time Domain
  • Underwater Data

Readers

  • Acoustics.
  • Neural Network Machine Learning.
  • Statistical inference.