A novel NLMS-ZF data detection approach for WCDMA based HSDPA systems

I. Tai Lu, Rajalakshmi Ramakrishnan, Rui Yang, Philip Pietraski

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


A new Normalized Least Mean Square- Zero Forcing (NLMS-ZF) approach for data detection, based on the NLMS algorithm and using the zero forcing principle, is developed for WCDMA based High Speed Packet Access (HSDPA) systems. The proposed NLMS-ZF data detection approach, which uses channel state information, has lower complexity than the conventional ZF approach. It is also shown to overcome the noise amplification problem, which is a major disadvantage of the ZF approach at low SNRs. Using numerical simulations, the BER performance of NLMS-ZF approach is proven to be better than that of the conventional NLMS based data detection for various signaling and channel scenarios.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 IEEE Sarnoff Symposium, SARNOFF
StatePublished - 2008
Event2008 IEEE Sarnoff Symposium, SARNOFF - Princeton, NJ, United States
Duration: Apr 28 2008Apr 30 2008

Publication series

NameProceedings of the 2008 IEEE Sarnoff Symposium, SARNOFF


Other2008 IEEE Sarnoff Symposium, SARNOFF
Country/TerritoryUnited States
CityPrinceton, NJ


  • NLMS
  • ZF

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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