Gram-Schmidt Adaptive Algorithms.

Abstract

We consider solutions to the problem of computing adaptive weights in real time to maximize the signal-to-noise ratio of a multichannel input radar system with a large number of weights. The algorithms considered are based on the Gram-Schmidt orthogonalization process, and may be implemented on a modular multiprocessor computer using both parallel and pipeline techniques. The implementations are based on a simply and regularly connected processor array with simple and identical processors (universal adaptive elements). The implementations can be made fast, fault tolerant, and easy to maintain. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1980
Accession Number
ADA084202

Entities

People

  • James W. Demmel
  • Lawrence E. Brennan
  • William C. Liles

Organizations

  • Technology Service Corporation

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Science
  • Computations
  • Computer Science
  • Coordinate Systems
  • Differential Equations
  • Engineering
  • Equations
  • Failure Mode And Effect Analysis
  • Parallel Computing
  • Parallel Processing
  • Probability
  • Radar
  • Random Variables
  • Square Roots
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Parallel and Distributed Computing.