A Novel Expectation-Maximization based Channel Estimation for OFDM Systems 


Vol. 34,  No. 4, pp. 397-402, Apr.  2009


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  Abstract

Accurate estimation of time-selective fading channel is a difficult problem in OFDM(Orthogonal Frequency Division Multiplexing) system. There are many channel estimation algorithms that are very weak in noisy channel. For solving this problem, we use EM (Expectation-Maximization) algorithm for iterative optimization of the data. We propose an EM-LPC algorithm to estimate the time-selective fading. The proposed algorithm improves of the BER performance compared to EM based channel estimation algorithm and reduces the iteration number of the EM loop. We simulated the uncoded system. If coded system use the EM-LPC algorithm, the performance are enhanced because of the coding gain. The EM-LPC algorithm is able to apply to another communication system, not only OFDM systems. The image processing of the medical instruments that the demand of accurate estimation can also use the proposed algorithm.

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  Cite this article

[IEEE Style]

N. Kim, I. Sohn, J. Shin, "A Novel Expectation-Maximization based Channel Estimation for OFDM Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 4, pp. 397-402, 2009. DOI: .

[ACM Style]

Namkyeom Kim, Insoo Sohn, and Jaeho Shin. 2009. A Novel Expectation-Maximization based Channel Estimation for OFDM Systems. The Journal of Korean Institute of Communications and Information Sciences, 34, 4, (2009), 397-402. DOI: .

[KICS Style]

Namkyeom Kim, Insoo Sohn, Jaeho Shin, "A Novel Expectation-Maximization based Channel Estimation for OFDM Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 4, pp. 397-402, 4. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880