Skip to content

A channel estimation algorithm for MIMO-SCFDE

Research output: Research - peer-reviewArticle

Original languageEnglish
Article numberIssue 9
Pages (from-to)555 - 557
Number of pages3
JournalIEEE Communications Letters
Issue number9
StatePublished - Sep 2004


This letter proposes a novel method for channel stimation in a single-carrier multiple input-multiple output (MIMO) system with frequency-domain equalization/detection. To this end, we construct novel short MIMO training sequences that have constant envelope in the time domain to preclude the peak to-average power ratio problem encountered in many systems that utilize the frequency domain for data recovery. Simultaneously, the spectrum in the frequency domain is flat except for a grid of nulls for prede- fined frequency tones. Armed with these sequences, we provide an algorithm that is optimal in the least squares (LS) sense at a potentially low computational cost. Results show that the algorithm performs identically to other proposed LS techniques. Furthermore, the algorithm is extremely bandwidth efficient in that the total training overhead required to obtain full CSI is just one block

Additional information

Publisher: Institute of Electrical and Electronics Engineers (IEEE) Rose publication type: Journal article Terms of use: Copyright © 2004 IEEE. Reprinted from IEEE Communications Letters. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

    Research areas

  • channel estimation, MIMO, OFDM, SCFDE

Download statistics

No data available

View research connections

Related faculties, schools or groups