Adaptive Optimization of Least Squares Tracking Algorithms: With Applications to Adaptive Antenna Arrays for Randomly Time-Varying Mobile Communications Systems

Abstract

Adaptive antenna arrays are widely used for reducing the effects of interference and increasing capacity in mobile communications systems. The adaptation typically consists of updating the antenna weights by a recursive least-squares-type algorithm. We will add another adaptive loop that greatly improves the operation when the environment for the various links is randomly time-varying. The analysis is via stochastic approximation type arguments. Consider a single cell system with an (receiving) antenna array at the base station. Algorithms for tracking time varying parameters require a balance between the need to follow changes (implying a short memory) and the need to average the effects of disturbance (implying a long memory).

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Document Details

Document Type
Technical Report
Publication Date
Feb 09, 2003
Accession Number
ADA461785

Entities

People

  • Harold J. Kushner
  • Robert Buche

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Angle Of Arrival
  • Antenna Arrays
  • Antennas
  • Applied Mathematics
  • Arrays
  • Carrier Frequencies
  • Differential Equations
  • Frequency
  • Mathematics
  • Mobile Communications
  • Mobile Phones
  • Plane Waves
  • Probability
  • Radio Equipment
  • Random Variables
  • Scattering

Fields of Study

  • Engineering

Readers

  • Operations Research
  • Phased Array Antenna Design.