DocumentCode
2664393
Title
Modified Order-Recursive Least Squares Estimator for the Noisy OFDM Channels
Author
Golovins, Eugene ; Ventura, Neco
Author_Institution
Univ. of Cape Town, Rondebosch
fYear
2007
fDate
14-17 May 2007
Firstpage
93
Lastpage
100
Abstract
In this article the new modified order-recursive least squares (MORLS) algorithm is presented for the multipath channel response estimation in the OFDM systems. The developed algorithm exhibits noticeably better performance (up to 1.4 dB) than traditional DFT-based methods due to improved noise filtering if the channel is characterised by a sparse power-delay profile. Computational complexity of the MORLS estimator is shown to be comparable with the DFT- based schemes for the channel impulse responses (CIRs) with maximum components present, whereas for the sparse CIRs or CIRs with shorter duration it reduces considerably and can potentially lower hardware power consumption.
Keywords
OFDM modulation; channel estimation; least squares approximations; multipath channels; recursive estimation; transient response; MORLS algorithm; computational complexity; modified order-recursive least squares estimator; multipath channel impulse response estimation; noisy OFDM channel; sparse power-delay profile; Filtering algorithms; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Interpolation; Least squares approximation; Multipath channels; OFDM; Performance analysis; Quadrature amplitude modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Networks and Services Research, 2007. CNSR '07. Fifth Annual Conference on
Conference_Location
Frederlcton, NB
Print_ISBN
0-7695-2835-X
Type
conf
DOI
10.1109/CNSR.2007.42
Filename
4215501
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