DocumentCode :
3016400
Title :
Low complexity MMSE based channel estimation algorithm in frequency domain for fixed broadband wireless access system
Author :
Hosseinnezhad, Makan ; Ganji, Fatemeh
fYear :
2009
fDate :
20-21 April 2009
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, we have studied the effects of channel estimation in uncoded WiMax system using IEEE802.16d standard. Two different channel estimation approaches in frequency domain namely LS and MMSE have come under investigation. Results showed that the MMSE method performs significantly better than the LS estimator, however, computational complexity associated with the MMSE estimation method is relatively high if compared to the conventional LS method. So we have proposed a new simplified MMSE channel estimator which is based on the rank-reduction of the correlation matrix in the frequency domain. The proposed method achieves almost the same performance as the full-rank MMSE method, while significantly reducing the computational complexity.
Keywords :
WiMax; broadband networks; channel estimation; frequency-domain analysis; least mean squares methods; matrix algebra; radio access networks; IEEE802.16 standard; LS estimator; WiMax system; channel estimation algorithm; computational complexity; correlation matrix; fixed broadband wireless access system; frequency domain; low-complexity MMSE algorithm; rank-reduction; AWGN; Additive white noise; Channel estimation; Demodulation; Fading; Frequency domain analysis; Frequency estimation; Least squares approximation; OFDM; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Microwave Technology Conference, 2009. WAMICON '09. IEEE 10th Annual
Conference_Location :
Clearwater, FL
Print_ISBN :
978-1-4244-4564-6
Electronic_ISBN :
978-1-4244-4565-3
Type :
conf
DOI :
10.1109/WAMICON.2009.5207279
Filename :
5207279
Link To Document :
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