A recursive QR approach to semi-blind equalization of time-varying MIMO channels

Sun-Yuan Kung, Chad L. Myers, Xinying Zhang

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

This paper presents a novel adaptive equalization algorithm for time-varying, frequency-selective MIMO systems that harnesses the finite alphabet property inherent in digital communication. The algorithm leads to a direct, cost-efficient QR-based recursive updating procedure for the equalizer coefficients that forces adaptation to changing channel characteristics. The proposed method does not require precise channel estimation and uses significantly less pilot symbols than other traditional equalizers, implying a drastic reduction in bandwidth overhead. Simulation results confirm that this approach outperforms the traditional recursive least squares (RLS) adaptive equalizer for this application and rivals the MMSE equalizers with perfect channel knowledge.

Original languageEnglish (US)
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - Sep 27 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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