Journal of South China University of Technology(Natural Science) >
A Low Computational Complexity Channel Estimation Algorithm for Time- Variant Channels
Received date: 2014-03-28
Revised date: 2014-05-13
Online published: 2014-08-01
Supported by
国家自然科学基金资助项目(61271299);高等学校学科创新引智计划项目(B08038)
For the orthogonal frequency- division multiplexing (OFDM) systems in time- variant channels,traditionalestimation methods are of poor estimation performance and high computational complexity.In order to solve theseproblems,we propose a channel estimation method named as DD- LMMSE (Dual- Diagonal Linear Minimum MeanSquare Error).In this method,a system model is constructed on the basis of expansion model (BEM) and the esti-mated coefficients of BEM are obtained by performing the diagonal LMMSE twice,and thus achieving the channelimpulse response (CIR) in time domain.Simulation results show that,whether in slowly time- variant or rapidlytime- variant channels,the proposed method has better performance and lower computational complexity.
Huang Min Li Bing- bing Sun Ru- qin . A Low Computational Complexity Channel Estimation Algorithm for Time- Variant Channels[J]. Journal of South China University of Technology(Natural Science), 2014 , 42(9) : 76 -81 . DOI: 10.3969/j.issn.1000-565X.2014.09.014
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