OFDM channel estimation by singular value decomposition
- 1 January 1996
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 923-927
- https://doi.org/10.1109/vetec.1996.501446
Abstract
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.Godkänd; 1996; 20090303 (yskoKeywords
This publication has 4 references indexed in Scilit:
- Frequency domain data transmission using reduced computational complexity algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- 16 QAM modulation with orthogonal frequency division multiplexing in a Rayleigh-fading environmentPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A statistical discrete-time model for the WSSUS multipath channelIEEE Transactions on Vehicular Technology, 1992
- Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty-III: The Dimension of the Space of Essentially Time- and Band-Limited SignalsBell System Technical Journal, 1962