Optimum and Adaptive Array Processing in Frequency-Wavenumber Space,

Abstract

In the paper a frequency-domain adaptive array structure is derived that processes data in selected regions of frequency-wavenumber space to provide a minimum mean squared error estimate of a signal component of the observed acoustic field. New stochastic convergence results are presented, indicating that the 'covariance ergodicity conditions' invoked by Parzen to ensure strong consistency of covariance estimates also ensure convergence of the stochastic approximation algorithm for the beamformer gains. These convergence results appear to be the most readily applicable results yet obtained for algorithms that must operate on correlated data. (Modified author abstract)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1973
Accession Number
AD0770186

Entities

People

  • David C. Farden
  • Louis L. Louis L. Scharf

Organizations

  • Colorado State University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Fields
  • Algorithms
  • Consistency
  • Convergence
  • Covariance
  • Ergodic Processes
  • Frequency
  • Frequency Domain
  • Mathematics
  • Workshops

Fields of Study

  • Engineering

Readers

  • Phased Array Antenna Design.
  • Statistical inference.

Technology Areas

  • Space