|Table of Contents|

[1] Fang Chengzhi, Du Sidan, Xue Wei,. OFDM blind channel estimation based on polynomial models [J]. Journal of Southeast University (English Edition), 2007, 23 (2): 162-167. [doi:10.3969/j.issn.1003-7985.2007.02.003]
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OFDM blind channel estimation based on polynomial models()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
23
Issue:
2007 2
Page:
162-167
Research Field:
Information and Communication Engineering
Publishing date:
2007-06-30

Info

Title:
OFDM blind channel estimation based on polynomial models
Author(s):
Fang Chengzhi Du Sidan Xue Wei
Department of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Keywords:
orthogonal frequency-division multiplexing expectation-maximization polynomial model recursive
PACS:
TN914.3
DOI:
10.3969/j.issn.1003-7985.2007.02.003
Abstract:
A two-dimensional(2-D)polynomial regression model is set up to approximate the time-frequency response of slowly time-varying orthogonal frequency-division multiplexing(OFDM)systems.With this model the estimation of the OFDM time-frequency response is turned into the optimization of some time-invariant model parameters.A new algorithm based on the expectation-maximization(EM)method is proposed to obtain the maximum-likelihood(ML)estimation of the polynomial model parameters over the 2-D observed data.At the same time, in order to reduce the complexity and avoid the computation instability, a novel recursive approach(RPEMTO)is given to calculate the values of the parameters.It is further shown that this 2-D polynomial EM-based algorithm for time-varying OFDM(PEMTO)can be simplified mathematically to handle the one-dimensional sequential estimation.Simulations illustrate that the proposed algorithms achieve a lower bit error rate(BER)than other blind algorithms.

References:

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Memo

Memo:
Biographies: Fang Chengzhi(1976—), male, graduate;Du Sidan(corresponding author), female, doctor, professor, coff128@nju.edu.cn.
Last Update: 2007-06-20