Adaptive reduced-rank interference suppression with adaptive rank selection

Michael L Honig*, W. Xiao

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

14 Scopus citations

Abstract

An adaptive reduced-rank filter for interference suppression in Direct-Sequence (DS)-Code-Division Multiple Access (CDMA) is presented. The projection subspace is constructed by successively multiplying an initial basis vector (estimated steering vector or matched filter) by the sample covariance matrix. It is shown that this technique is equivalent to adaptive reduced-rank filtering based on the multi-stage Wiener filter of Goldstein and Reed. This method has the important property that the rank needed to achieve a target performance does not scale with the system size (number of users and processing gain). Methods for rank selection are presented along with numerical examples illustrating performance.

Original languageEnglish (US)
Pages747-751
Number of pages5
StatePublished - Dec 1 2000
Event21st Century Military Communications Conference Proceedings MILCOM 2000 - Los Angeles, CA, United States
Duration: Oct 22 2000Oct 25 2000

Other

Other21st Century Military Communications Conference Proceedings MILCOM 2000
CountryUnited States
CityLos Angeles, CA
Period10/22/0010/25/00

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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