DocumentCode :
2365555
Title :
Low-complexity constrained LMMSE estimator for the sparse OFDM channels
Author :
Golovins, Eugene ; Ventura, Neco
fYear :
2007
fDate :
26-28 Sept. 2007
Firstpage :
1
Lastpage :
7
Abstract :
In this article the constrained linear minimum mean squared error (CLMMSE) algorithm is presented for the multipath channel response estimation in the OFDM systems using equispaced and equipowered pilot subcarriers. It relies on tracking of the channel correlation and signal-to-noise ratio and has a low computational complexity due to the transform-domain processing and no matrix inversions required. The proposed algorithm exhibits a substantial performance improvement for the sparse channels (9 dB in MSE and 1.4 dB in BER), whereas for channels with the dense impulse responses its accuracy is equivalent to the LMMSE scheme with the robust design parameters.
Keywords :
OFDM modulation; channel estimation; error statistics; least mean squares methods; multipath channels; BER; OFDM channels; computational complexity; constrained linear minimum mean squared error algorithm; low-complexity constrained LMMSE estimator; multipath channel response estimation; signal-to-noise ratio; Delay effects; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Least squares approximation; Multipath channels; OFDM; Polynomials; Quadrature amplitude modulation; Robustness; FFT; power-delay profile; sparse channel impulse response;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AFRICON 2007
Conference_Location :
Windhoek
Print_ISBN :
978-1-4244-0987-7
Electronic_ISBN :
978-1-4244-0987-7
Type :
conf
DOI :
10.1109/AFRCON.2007.4401614
Filename :
4401614
Link To Document :
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