An application of the singular value decomposition to OFDM channel estimation
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)
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
IdentifiersURN: urn:nbn:se:ltu:diva-29819Local ID: 36ce0d10-dfcf-11dc-9e29-000ea68e967bISBN: 91-630-4455-2OAI: oai:DiVA.org:ltu-29819DiVA: diva2:1003045
SNRV and NUTEK Conference on Radio Sciences and Telecommunications : 03/06/1996 - 06/06/1996
Godkänd; 1996; 20080220 (ysko)2016-09-302016-09-30Bibliographically approved