Efficient adaptive blind MAI suppression in DS/CDMA by embedded constraint parallel projection techniques

Masahiro Yukawa, Renato L.G. Cavalcante, Isao Yamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents two novel blind set-theoretic adaptive filtering algorithms for Multiple Access Interference (MAI) suppression in DS/CDMA systems. We naturally formulate the problem of MAI suppression as minimizing asymptotically a sequence of cost functions under some linear constraint defined by desired user's signature. The proposed algorithms embed the constraint in the direction of adaptation, and thus the adaptive filter moves toward the optimal filter without stepping away from the constraint set. In addition, using parallel processors, the proposed algorithms attain good performance behavior with low computational complexity. Geometric interpretation clarifies an advantage of the proposed methods over some conventional methods. Simulation results demonstrate that the proposed algorithms achieve much faster convergence than the conventional methods with a moderate number of concurrent processors.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesIII929-III932
ISBN (Print)0780388747, 9780780388741
DOIs
Publication statusPublished - 2005 Jan 1
Externally publishedYes
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: 2005 Mar 182005 Mar 23

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeIII
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period05/3/1805/3/23

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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