Data-efficient blind OFDM channel estimation using receiver diversity

Hao Wang, Ying Lin, Biao Chen

Research output: Contribution to journalArticle

36 Scopus citations

Abstract

In this paper, we investigate non data-aided channel estimation for cyclically prefixed orthogonal frequency division multiplexing (OFDM) systems. By exploiting channel diversity using only two receive antennas, a blind deterministic algorithm is proposed. Identifiability conditions are derived that guarantee the perfect channel retrieval in the absence of noise. In the presence of noise, the proposed method has the desired property of being data efficient - only a single OFDM block is needed to achieve good estimation performance for a wide range of SNR values. The algorithm is also robust to input symbols as it does not have any restriction on the input symbols with regard to their constellation or their statistical properties. In addition, this diversity-based algorithm is computationally efficient, and its performance compares favorably to most existing blind algorithms.

Original languageEnglish (US)
Pages (from-to)2613-2623
Number of pages11
JournalIEEE Transactions on Signal Processing
Volume51
Issue number10
DOIs
StatePublished - Oct 1 2003

Keywords

  • Channel estimation
  • Cramér-Rao lower bound (CRLB)
  • Orthogonal frequency division multiplexing (OFDM)
  • Receiver diversity

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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