Title :
OFDM channel estimation by singular value decomposition
Author :
Edfors, Ove ; Sandell, Magnus ; Van de Beek, Jan-Jaap ; Wilson, Sarah Kate ; Börjesson, Per Ola
Author_Institution :
Div. of Signal Process., Lulea Univ. of Technol., Sweden
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
Keywords :
approximation theory; correlation methods; error statistics; estimation theory; frequency division multiplexing; quadrature amplitude modulation; singular value decomposition; telecommunication channels; 16-QAM OFDM system; LMMSE estimator; OFDM channel estimation; SNR; channel correlation; frequency correlation; linear minimum mean squared error estimator; low complexity channel estimation; low computational complexity; low rank approximation; optimal low rank estimator; orthogonal frequency division multiplexing; signal to noise ratio; singular value decomposition; symbol error rates; Amplitude modulation; Attenuation; Channel estimation; Differential quadrature phase shift keying; Fading; Frequency estimation; Gaussian channels; OFDM modulation; Signal processing; Singular value decomposition;
Conference_Titel :
Vehicular Technology Conference, 1996. Mobile Technology for the Human Race., IEEE 46th
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3157-5
DOI :
10.1109/VETEC.1996.501446
