Accession Number:

ADA461785

Title:

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

Descriptive Note:

Corporate Author:

NORTH CAROLINA STATE UNIV AT RALEIGH DEPT OF MATHEMATICS

Personal Author(s):

Report Date:

2003-02-09

Pagination or Media Count:

24.0

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.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE