Composite Tasking for Sensor Arrays

Abstract

We explored a number of issues regarding efficient updating in adaptive array signal processing. Our focus was on techniques for efficient and paralyzable deletion of data as arises in excising obsolete data in recursive least squares, noise suppression via covariance differencing, etc. Our key result was the development of hyperbolic singular value decomposition, a new canonic matrix factorization.

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Document Details

Document Type
Technical Report
Publication Date
Aug 07, 1992
Accession Number
ADA254997

Entities

People

  • A. Bojanczyk
  • A. Steinhardt

Organizations

  • Cornell University College of Engineering

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Arrays
  • Composite Materials
  • Computational Complexity
  • Covariance
  • Decomposition
  • Detectors
  • Distributed Computing
  • Electrical Engineering
  • Equations
  • High Resolution
  • Integral Equations
  • Linear Algebra
  • Linear Arrays
  • Military Research
  • Signal Processing
  • Theses

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Linear Algebra
  • Systems Analysis and Design