Optimal training sequences for channel estimation in MIMO OFDM systems in mobile wireless channels

I. Barhumi, G. Leus, M. Moonen

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

48 Citations (Scopus)

Abstract

This paper describes a channel estimation and tracking scheme for MIMO OFDM systems based on pilot tones. The mean square error of the proposed scheme is derived, and through this we derive optimal training sequences and placement of the pilot tones. It is shown in this paper that the minimum mean square error (MMSE) is obtained with equispaced pilot tones in frequency, equipowered, orthogonal and phase shift orthogonal training sequences. For channels with large excess delay the number of pilot tones required for training is quite large, though a scheme for channel estimation over multiple blocks is proposed. Through simulations it is shown that the optimal training sequences derived in this paper outperform both the random and orthogonal training sequences which appear to be suboptimal. Moreover, an RLS like method is also proposed to enhance channel estimation.

Original languageEnglish
Title of host publication2002 International Zurich Seminar on Broadband Communications Access - Transmission - Networking: Meeting the Challenge of High-Speed Communications, IZS 2002 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages44.1-44.6
ISBN (Print)0780372573, 9780780372573
DOIs
Publication statusPublished - 2001
Externally publishedYes
EventInternational Zurich Seminar on Broadband Communications Access - Transmission - Networking, IZS 2002 - Zurich, Switzerland
Duration: Feb 19 2002Feb 21 2002

Other

OtherInternational Zurich Seminar on Broadband Communications Access - Transmission - Networking, IZS 2002
Country/TerritorySwitzerland
CityZurich
Period2/19/022/21/02

Keywords

  • Channel Estimation
  • MIMO Systems
  • OFDM
  • Training Sequences
  • Wireless communication

ASJC Scopus subject areas

  • Computer Networks and Communications

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