Case of Short Data Record for Both Training and Signal Detection

Abstract

Detection of a signal embedded in interference is a common problem encountered in radar, sonar and communication systems. In cases where it is known that the interference is low rank (or approximately so) the amount of data required for adaptation can be reduced by using reduced rank estimation methods. Three proposed methods for making the selection of basis vectors are the Cross Spectral Metric (CSM) method, the Principal Components Inverse (PCI) method and Multistage Wiener Filter (MWF). The examination here is for detection of a signal that may or may not be present within a given set of data. That is, training and signal detection must be performed using the same data set. The case of independent training and test data has been treated in.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA405489

Entities

People

  • Brian E. Freburger
  • Donald W. Tufts

Organizations

  • Naval Air Warfare Center

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aerial Warfare
  • Aircrafts
  • Background Noise
  • Communication Systems
  • Construction
  • Covariance
  • Cross Correlation
  • Data Sets
  • Detection
  • Engineering
  • Noise
  • Power Levels
  • Rhode Island
  • Signal Detection
  • Simulations
  • Two Dimensional
  • White Noise

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radio communications and signal processing.
  • Regression Analysis.