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OFDM channel estimation by singular value decomposition
Luleå tekniska universitet.
Luleå tekniska universitet.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå tekniska universitet.
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1996 (English)In: Mobile technology for the human race: 1996 IEEE 46th Vehicular Technology Conference, Atlanta, Georgia, USA, April 28 - May 1, 1996 / [ed] Jim Worsham, Piscataway, NJ: IEEE Communications Society, 1996, 923-927 p.Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 1996. 923-927 p.
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-28569DOI: 10.1109/VETEC.1996.501446Local ID: 2665eca0-07e6-11de-bf94-000ea68e967bISBN: 0-7803-3157-5OAI: diva2:1001769
IEEE Vehicular Technology Conference : 28/04/1996 - 01/05/1996
Godkänd; 1996; 20090303 (ysko)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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Beek, Jaap van de
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