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OFDM channel estimation by singular value decomposition

Publiceringsår: 1996
Språk: Engelska
Sidor: 923-927
Volym: 2
Dokumenttyp: Konferensbidrag


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



  • Electrical Engineering, Electronic Engineering, Information Engineering


IEEE Vehicular Technology Conference
Atlanta, GA, USA
"This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."
  • ISBN: 0-7803-3157-5

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