Training techniques of space-time Viterbi equalizers for high speed mobile communication

Chih Sheng Chou*, David W. Lin

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

We consider space-time Viterbi equalization in nonspread-spectrum mobile communication at high data rates (over 1 Mbps). A specially designed sequence called the min-norm training sequence is used for channel estimation. The design is such that the mean-square estimation error is minimized in an AWGN environment. In addition, a channel estimation method using reduced channel length is proposed. The method can reduce the channel estimation error in low SNR environments. A Viterbi equalizer employing the proposed channel estimation method can perform better than employing least-squares channel estimation with non-reduced channel length.

Original languageEnglish
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
DOIs
StatePublished - 1 Jan 2000
EventProceedings of the IEEE 2000 International Symposium on Circuits and Systems - Geneva, Switz
Duration: 28 May 200031 May 2000

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