A Comparison between the Least-Squares Lattice and Fast Kalman Algorithms for Adaptive Channel Equalisation.

Abstract

An exact least-squares lattice algorithm for channel equalisation is derived without using an explicit time update for the equaliser or predictor coefficients. This avoids the need for auxiliary vectors and scalars within the analysis and facilitates a theoretical comparison with the corresponding Fast Kalman algorithm which is also derived. Both algorithms incorporate a very general flow of statistical estimator which includes the growing or growing-fading memory estimators and the sliding window estimator as special cases.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1983
Accession Number
ADA129397

Entities

People

  • J. G. Mcwhirter
  • T. J. Shepherd

Organizations

  • Royal Signals and Radar Establishment

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Computations
  • Convergence
  • Covariance
  • Cross Correlation
  • Data Science
  • Equations
  • Estimators
  • Filters
  • Information Processing
  • Information Science
  • Least Squares Method
  • Mathematical Filters
  • Stationary Processes
  • Statistical Algorithms
  • Statistics

Readers

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