Aperiodic complementary sets of sequences-based MIMO frequency selective channel estimation

Shuangquan Wang, Ali Abdi

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Accurate estimation of MIMO frequency selective fading channels is important for reliable communication. In this letter, a new channel estimator which relies on aperiodic complementary sets of sequences is proposed. Theoretical analysis and Monte-Carlo simulation have shown that it achieves the minimum possible Cramér-Rao lower bound. A low-complexity hardware implementation of the estimator is also provided.

Original languageEnglish (US)
Pages (from-to)891-893
Number of pages3
JournalIEEE Communications Letters
Volume9
Issue number10
DOIs
StatePublished - Oct 1 2005

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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