Tracking Performance of the RLS Algorithm Applied to an Antenna Array in a Realistic Fading Environment

Abstract

In this paper, frequency domain techniques are used to derive the tracking properties of the recursive least squares (RLS) algorithm applied to an adaptive antenna array in a mobile fading environment, expanding the use of such frequency domain approaches for nonstationary RLS tracking to the interference canceling problem that characterizes the use of antenna arrays in mobile wireless communications. The analysis focuses on the effect of the exponential weighting of the correlation estimation filter and its effect on the estimation of the time variant autocorrelation matrix and cross-correlation vector. Specifically, the case of a flat Rayleigh fading desired signal applied to an array in the presence of static interferes is considered with an AR2 fading process approximating the Jakes' fading model. The result is a mean square error (MSE) performance metric parameterized by the fading bandwidth and the RLS exponential weighting factor, allowing optimal parameter selection.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2002
Accession Number
ADA506915

Entities

People

  • Brian C. Banister
  • James R. Zeidler

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Antenna Arrays
  • Arrays
  • Bandwidth
  • Communication Systems
  • Cross Correlation
  • Data Science
  • Electrical Engineering
  • Frequency
  • Frequency Domain
  • Information Science
  • Mobile Communications
  • Signal Processing
  • Simulations
  • Statistical Algorithms
  • Two Dimensional
  • Wireless Communications

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Computer Networking
  • Phased Array Antenna Design.