Trend Removal to Improve the Performance of a Fluctuation Sensitive Signal Processor.

Abstract

The success of a fluctuation sensitive signal processor in detecting signals from submerged sources depends largely on the fluctuation character of a signal of interest. If a trend, possibly caused by multipath propagation or changes in the source receiver distance, exists in the signal, large 'apparent' amplitude fluctuations are introduced, and the fluctuation sensitive signal processor may not distinguish the signal from the noise. This report presents a method for removing trends that may exist in the data and demonstrates the resulting improvement in the performance of such a processor.

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Document Details

Document Type
Technical Report
Publication Date
May 08, 1995
Accession Number
ADA294534

Entities

People

  • Karen J. Dudley
  • Ronald A. Wagstaff

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Signals
  • Acoustics
  • Algorithms
  • Ambient Noise
  • Amplitude
  • Background Noise
  • Data Sets
  • Detection
  • Detectors
  • False Alarms
  • Filters
  • Frequency
  • Measurement
  • Military Research
  • Multipath Transmission
  • Noise
  • Signal Processing

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Radio communications and signal processing.
  • Systems Analysis and Design