A New Algorithm for Adaptive Radar Signal Processing.

Abstract

A new adaptive processing algorithm, called Weighted Covariance Estimation (WCE), for the detection of signals in interference of unknown character is presented. Its main advantage over present techniques, such as Sample MAtrix Inversion (SMI), is its tendency not to suppress desired signals present in the learning data. WCE and SMI are compared for a radar problem of practical interest, adaptive MTI from a moving platform, using both simulated and actual radar data. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1979
Accession Number
ADA082856

Entities

People

  • Darrol F. Delong

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Computations
  • Covariance
  • Detection
  • Errors
  • Estimators
  • Frequency
  • Ground Clutter
  • Moving Targets
  • Power Levels
  • Radar
  • Radar Pulses
  • Radar Signals
  • Simulations
  • Statistics
  • Targets

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.