MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems

Enoch Lu, I. Tai Lu

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

Abstract

This paper proposes several new approaches (NLMS-ZF Weighting, NLMS-ZF Iterations, NLMS-ZF Joint, and Kalman Data Detection Methods) to compare with the existing Normalized Least Mean Square (NLMS) Data Detection method for the Multiple Input Multiple Output (MIMO) High Speed Data Packet Access (HSDPA) enabled Wideband Code Division Multiple Access (WCDMA) system. The NLMS Data Detection Method has the lowest and Kalman (in general) the highest complexity of the methods. It is found that the Kalman method has the best performance and that the NLMS-ZF methods have some improvement over the NLMS Data Detection method for fast-varying channels1.

Original languageEnglish (US)
Title of host publication2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009
DOIs
StatePublished - 2009
Event2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009 - Farmingdale, NY, United States
Duration: May 1 2009May 1 2009

Publication series

Name2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009

Other

Other2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009
Country/TerritoryUnited States
CityFarmingdale, NY
Period5/1/095/1/09

Keywords

  • HSDPA
  • Kalman
  • MIMO
  • NLMS
  • WCDMA
  • ZF

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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