OFDM channel estimation by singular value decomposition
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)
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
IdentifiersURN: urn:nbn:se:ltu:diva-28569DOI: 10.1109/VETEC.1996.501446Local ID: 2665eca0-07e6-11de-bf94-000ea68e967bISBN: 0-7803-3157-5OAI: oai:DiVA.org:ltu-28569DiVA: diva2:1001769
IEEE Vehicular Technology Conference : 28/04/1996 - 01/05/1996
Godkänd; 1996; 20090303 (ysko)2016-09-302016-09-30Bibliographically approved