A Fast-Converging, Cascaded Adaptive Canceller

Abstract

A fast-converging, highly parallel/pipeline cascaded canceller (FCC) is developed, which has convergence performance almost identical in many pertinent jamming scenarios to the fast maximum likelihood (FML) canceller. For both the FML and FCC developments it is assumed that the unknown interference covariance matrix has the structure of an identity matrix plus an unknown positive semi-definite Hermitian (psdh) matrix. The identity matrix component is associated with the known covariance matrix of the system noise, and the unknown psdh matrix is associated with the external noise environment. For narrowband jamming scenarios with J jammers, where J is less than some upperbound, it was shown via simulation that the FCC and FML converge on the average -3 dB below the optimum in about 2J independent sample vectors per sensor input. Both the FCC and FML converge much faster than the standard canceller technique: the Sampled Matrix Inversion (SMI) algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 2000
Accession Number
ADA375754

Entities

People

  • Karl R. Gerlach

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Covariance
  • Data Science
  • Eigenvalues
  • Eigenvectors
  • Environment
  • Frequency
  • Identities
  • Information Science
  • Inversion
  • Narrowband
  • Radar
  • Random Variables
  • Signal Processing
  • Simulations
  • Standards
  • Statistics

Readers

  • Data Mining and Knowledge Discovery.
  • Linear Algebra
  • Phased Array Antenna Design.