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Ultra Wideband OFDM Channel Estimation Algorithm Based on Instantaneous Power Filtering

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Information Computing and Applications (ICICA 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 391))

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Abstract

The Ultra Wide-Band (UWB) is one of the important development trends of the new-generation wireless communication technology. The channel estimation technology,is the key part of the Orthogonal Frequency-Division Multiplexing (OFDM). After the strengths and weaknesses of the Least Mean Square (LMS) algorithm in the system implementation were compared, a UWB OFDM channel estimation algorithm based on instantaneous power filtering and applicable to system implementation was put forward.

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Author information

Authors and Affiliations

  1. JiangSu Broadcasting Cable Information Network Corporation Limited Nanjing, Nanjing, 210000, China

    Wan Xing

  2. State Key Laboratory of Mobile Communication Southeast University, Nanjing, 210000, China

    Bi Guangguo

Authors
  1. Wan Xing
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  2. Bi Guangguo
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Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, 800 Dongchuan Road, Dianxinqunlou 1-401, 200240, Shanghai, China

    Yuhang Yang

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore, Singapore

    Maode Ma

  3. College of Science, Hebei United University, 063009, Tangshan, Hebei, China

    Baoxiang Liu

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© 2013 Springer-Verlag Berlin Heidelberg

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Xing, W., Guangguo, B. (2013). Ultra Wideband OFDM Channel Estimation Algorithm Based on Instantaneous Power Filtering. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-53932-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53931-2

  • Online ISBN: 978-3-642-53932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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