Detection of Sinusoids in Uncorrelated Noise Using Adaptive Linear Prediction Filters.

Abstract

This paper evaluates the detection performance of an application of adaptive linear prediction filtering known as the adaptive line enhancer (ALE) for the signal known except for phase problem. ROC curves are derived for an L-weight ALE followed by a K-point DFT under the conditions that K < or = L and that K and L are much less than N, the total number of data points processed. ROC curves are also obtained for detection based on an L-point DFT of the L adaptive filter weights. It is shown that both ALE implementations give detection performances roughly comparable to N/L incoherent averages of an L-point DFT, but differences between the two ALE devices are noted. ALE detection performance is shown to be relatively insensitive to the choice of adaptive filter time constant. It is also shown that ALE detection performance is relatively insensitive to the value of K for K < or = L. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 31, 1978
Accession Number
ADA051315

Entities

People

  • J. R. Zeidler
  • S. T. Alexander

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Filters
  • Algorithms
  • Computational Science
  • Data Science
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Equations
  • Frequency
  • Information Theory
  • Mathematical Analysis
  • Pattern Recognition
  • Probability
  • Random Variables
  • Statistics
  • White Noise

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Phased Array Antenna Design.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms