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An application of the singular value decomposition to OFDM channel estimation
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: Proceedings of the 1996 SNRV and NUTEK Conference on Radio Sciences and Telecommunications in Luleå and Kiruna June 3-6, 1996: RVK 96 / [ed] Lars H. Zetterberg, Luleå: Luleå tekniska universitet, 1996, 678-682 p.Conference paper (Refereed)
Abstract [en]

A new approach to low-complexity channel estimation in orthogonal-frequency division multiplexing (OFDM) systems is described. 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
Luleå: Luleå tekniska universitet, 1996. 678-682 p.
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-29819Local ID: 36ce0d10-dfcf-11dc-9e29-000ea68e967bISBN: 91-630-4455-2OAI: diva2:1003045
SNRV and NUTEK Conference on Radio Sciences and Telecommunications : 03/06/1996 - 06/06/1996
Godkänd; 1996; 20080220 (ysko)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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