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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.ORCID iD: 0000-0001-8647-436X
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, Published 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.
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-28569DOI: 10.1109/VETEC.1996.501446Local ID: 2665eca0-07e6-11de-bf94-000ea68e967bISBN: 0-7803-3157-5 (print)OAI: oai:DiVA.org:ltu-28569DiVA: diva2:1001769
Conference
IEEE Vehicular Technology Conference : 28/04/1996 - 01/05/1996
Note
Godkänd; 1996; 20090303 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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