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OFDM channel estimation by singular value decomposition

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Author

Summary, in English

A new approach to low-complexity channel estimation in orthogonal-frequency division multiplexing (OFDM) systems is proposed. A low-rank approximation is applied to a linear minimum mean-squared error (LMMSE) estimator that uses the frequency correlation of the channel. By using the singular value decomposition (SVD) an optimal low-rank estimator is derived, where performance is essentially preserved-even for low computational complexities. A fixed estimator, with nominal values for channel correlation and signal-to-noise ratio (SNR), is analysed. Analytical mean-squared error (MSE) and symbol-error rates (SER) are presented for a 16-QAM OFDM system

Publishing year

1996

Language

English

Pages

923-927

Publication/Series

[Host publication title missing]

Volume

2

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

IEEE Vehicular Technology Conference, 1996

Conference date

1996-04-28 - 1996-05-01

Conference place

Atlanta, GA, United States

Status

Published

ISBN/ISSN/Other

  • ISBN: 0-7803-3157-5