Angle-domain frequency-selective sparse channel estimation for underwater MIMO-OFDM systems

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

In this letter we propose a fully angle-domain frequency-selective sparse channel estimation algorithm for multiple-input multiple-output orthogonal frequency division multiplexing underwater acoustic communication (MIMO-OFDM UAC) systems. The algorithm is divided into two stages (finding nonzero tap positions and finding nonzero angle-domain coefficients) to reduce the computational complexity. It has been demonstrated that the 2-stage orthogonal matching pursuits algorithm provides an efficient way to estimate the under-determined frequency-selective sparse channel with reduced complexity for MIMO-OFDM UAC systems.

Original languageEnglish
Article number6177199
Pages (from-to)685-687
Number of pages3
JournalIEEE Communications Letters
Volume16
Issue number5
DOIs
StatePublished - 2012 May 1

Fingerprint

Underwater Acoustic Communication
MIMO-OFDM
Channel Estimation
Channel estimation
Orthogonal Frequency Division multiplexing (OFDM)
MIMO systems
Multiple-input multiple-output (MIMO)
Orthogonal frequency division multiplexing
Communication Systems
Frequency Domain
Underwater acoustics
Angle
Matching Pursuit
Communication systems
Estimation Algorithms
Computational Complexity
Computational complexity
Coefficient
Estimate

Keywords

  • Angle-domain
  • MIMO
  • OFDM
  • Orthogonal matching pursuits
  • Sparse channel estimation
  • Underwater acoustic communication

Cite this

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Angle-domain frequency-selective sparse channel estimation for underwater MIMO-OFDM systems. / Kim, Sunwoo.

In: IEEE Communications Letters, Vol. 16, No. 5, 6177199, 01.05.2012, p. 685-687.

Research output: Contribution to journalArticle

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