Low-complexity optimal estimation of MIMO ISI channels with binary training sequences

Shuangquan Wang, Ali Abdi

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

In this letter, a novel low-complexity optimal channel estimator using uncorrelated periodic complementary sets of binary sequences is proposed for multiple-input multiple-output (MIMO) intersymbol interference (ISI) channels. The estimator is optimal since it attains the minimum possible Cramér-Rao lower bound (CRLB). Moreover, it can be implemented with very low complexity via ASIC/FPGA, which makes it suitable and ready for practical MIMO systems.

Original languageEnglish (US)
Pages (from-to)657-660
Number of pages4
JournalIEEE Signal Processing Letters
Volume13
Issue number11
DOIs
StatePublished - Nov 1 2006

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • Channel estimation
  • Frequency-selective channel
  • Intersymbol interference (ISI)
  • Multiple-input multiple-output (MIMO)
  • Uncorrelated complementary sets.

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