A Low-Complexity 2-D MMSE Channel Estimation for OFDM Systems 


Vol. 36,  No. 5, pp. 317-325, May  2011


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  Abstract

For OFDM (Orthogonal Frequency Division Multiplexing) systems, 2-D MMSE (2-Dimensional Minimum Mean Square Error) channel estimation provides optimal performance in frequency/time selective fading channel environment. However, the 2-D MMSE channel estimation has high computational complexity due to the large matrix size, because the 2-D MMSE channel estimation considers time as well as frequency axis for channel estimation. To reduce the computational complexity, we propose a modified 2-D MMSE channel estimator which is based on 1-D MMSE channel estimation with weighted sum. Furthermore, we consider RMS delay spread and Doppler frequency estimation for 2-D MMSE channel estimation. We show that the proposed method can significantly reduce computational complexity as well as that it can perform close to 2-D MMSE channel estimation.

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  Cite this article

[IEEE Style]

J. Kim, J. Jang, H. Choi, "A Low-Complexity 2-D MMSE Channel Estimation for OFDM Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 5, pp. 317-325, 2011. DOI: .

[ACM Style]

Jung-In Kim, Jun-Hee Jang, and Hyung-Jin Choi. 2011. A Low-Complexity 2-D MMSE Channel Estimation for OFDM Systems. The Journal of Korean Institute of Communications and Information Sciences, 36, 5, (2011), 317-325. DOI: .

[KICS Style]

Jung-In Kim, Jun-Hee Jang, Hyung-Jin Choi, "A Low-Complexity 2-D MMSE Channel Estimation for OFDM Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 5, pp. 317-325, 5. 2011.