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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  Low-complexity ML Doppler spread estimation for OFDM systems

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83662

    Title: Low-complexity ML Doppler spread estimation for OFDM systems
    Authors: Yuh-Ren Tsai;Kai-Jie Yang;Chia-Hong Tsai;Chin-Liang Wang
    教師: 王晉良
    Date: 2011
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Proceedings of the 2011 IEEE Vehicular Technology Conference - Fall (VTC 2011-Fall), San Francisco, CA, SEP 05-08, 2011, Pages 1 - 5
    Abstract: The time domain maximum likelihood (ML) Doppler spread estimation for OFDM systems provides an accurate estimation performance; however, it results in a much higher computation cost. We propose a low-complexity ML Doppler estimator based on a well-designed preamble sequence along with a suboptimal ML (SML) method to reduce the computational complexity of the optimal ML scheme. Because of the proposed preamble sequence, the received samples are able to be partitioned into uncorrelated subsets, yielding a substantial complexity reduction for the SML scheme. The simulation results show that the proposed estimator provides accurate and efficient Doppler spread estimation.
    Relation Link: http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83662
    Appears in Collections:[電機工程學系] 會議論文
    [通訊工程研究所] 會議論文
    [電腦與通訊科技研發中心] 會議論文

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