Adaptive ARMA (Autoregressive Moving Average) Lattice Filter Based on a Generalized Mullis-Roberts Criterion

Abstract

In this thesis, an adaptive lattice algorithm is derived for an ARM A digital lattice filter, whose parameters are estimated using a generalized Mullis-Roberts criterion for parameter estimation. Design of the ARMA lattice filter based on this generalized criterion is studied as is the accuracy of the parameter estimation algorithm used in its design. Application of the derived lattice algorithm to system identification modeling is demonstrated through computer simulation of various system identification problems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1988
Accession Number
ADA201009

Entities

People

  • Donald W. Mennecke

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Filters
  • Algorithms
  • Coefficients
  • Computational Science
  • Computations
  • Computer Simulations
  • Computers
  • Difference Equations
  • Digital Filters
  • Digital Signal Processing
  • Electrical Engineering
  • Engineering
  • Equations
  • Estimators
  • Filters
  • Signal Processing
  • Simulations

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Phased Array Antenna Design.
  • Statistical inference.