Abstract
Wiener filter is the best channel interpolation method in terms of minimizing mean square error at the time dimension. However, Wiener filter with low order will lose its efficiency in high-speed communication environments, while Wiener filter with high order suffers from the problem of high computational complexity. In this paper, we analyze the relationships among Wiener filter with different orders and their corresponding application scenarios. Furthermore, based on the analysis, a pilot symbol design criterion for high-speed communication environments and a simplified Wiener filter based channel estimation technique are proposed, respectively.
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Acknowledgments
This work was supported in part by the National Science Foundation of China under Grant number 61032002, 60902026 and 60972029, the Chinese Important National Science & Technology Specific Projects under Grant 2011ZX03001-007-01 and the Program for New Century Excellent Talents in University, NCET-11-0058.
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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Zhong, K., Lei, X. & Li, S. Wiener Filter Based Channel Estimation for High-Speed Communication Environments. Wireless Pers Commun 69, 1819–1845 (2013). https://doi.org/10.1007/s11277-012-0665-8
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DOI: https://doi.org/10.1007/s11277-012-0665-8