Polynomial prediction RLS channel estimation for DS-CDMA frequency-domain equalization

Yohei Kojima, Kazuki Takeda, Fumiyuki Adachi

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

1 Citation (Scopus)

Abstract

Recently, we have proposed an adaptive channel estimation (CE) scheme using one-tap recursive least square (RLS) algorithm (adaptive RLS-CE), where the forgetting factor is adapted to the changing channel condition by the least mean square (LMS) algorithm, for direct sequence-code division multiple access (DS-CDMA) with frequency-domain equalization (FDE). However, the tracking ability for adaptive RLS-CE is limited since the channel estimate obtained from the previously received block is used. In this paper, we introduce the polynomial prediction to improve the tracking ability. We evaluate the bit error rate (BER) performance of DS-CDMA using polynomial prediction RLS-CE in a frequency-selective fast Rayleigh fading channel by computer simulation.

Original languageEnglish
Title of host publicationProceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
DOIs
Publication statusPublished - 2009
Event2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall - Anchorage, AK, United States
Duration: 2009 Sep 202009 Sep 23

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
CountryUnited States
CityAnchorage, AK
Period09/9/2009/9/23

Keywords

  • Channel estimation
  • Components
  • DS-CDMA
  • Frequency-domain equalization
  • Prediction
  • RLS algorithm

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Polynomial prediction RLS channel estimation for DS-CDMA frequency-domain equalization'. Together they form a unique fingerprint.

Cite this