An Algebraic Approach to Super-Resolution Adaptive Array Processing,

Abstract

In this paper, an algebraic characterization is made of the problem of resolving two or more closely spaced (in frequency wave number) plane waves incident on a linear array. This algebraic characterization in turn suggests a number of adaptive procedures for effecting the desired resolution. One of these procedures is herein empirically shown to provide significantly better performance when compared to other contemporary procedures used in array processing such as the Wiener filter, Pisarenko and LML algorithms. This includes both a better frequency resolving capability and a faster convergence rate.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1981
Accession Number
ADA099144

Entities

People

  • James A. Cadsow
  • Thomas P. Bronez

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Arrays
  • Computer Simulations
  • Covariance
  • Data Science
  • Electrical Engineering
  • Engineering
  • Frequency
  • High Resolution
  • Information Science
  • Linear Arrays
  • Mathematical Analysis
  • Plane Waves
  • Probability
  • Random Variables
  • Simulations
  • Spurious Effects
  • Statistics

Fields of Study

  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects