• DocumentCode
    2094503
  • Title

    A low-complexity time-domain signal processing algorithm for N-continuous OFDM

  • Author

    Peng Wei ; Lilin Dan ; Yue Xiao ; Shaoqian Li

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    5754
  • Lastpage
    5758
  • Abstract
    N-continuous orthogonal frequency division multiplexing (OFDM) is a promising sidelobe suppression technique by enhancing the continuity between adjacent symbols with higher-order derivatives. However, it has high computational complexity due to the large-scale matrix operations in frequency domain. In this paper, a low-complexity time-domain signal processing (TDSP) algorithm for N-continuous OFDM is proposed. Based on linear combination of basis vectors, it utilizes small-scale matrix operations to generate the coordinates to construct N-continuous OFDM signal. Simulation results approve that the proposed algorithm achieves dramatic complexity reduction with identical sidelobe suppression and BER performance compared to conventional frequency-domain processed N-continuous OFDM.
  • Keywords
    OFDM modulation; computational complexity; error statistics; frequency-domain analysis; matrix algebra; signal processing; time-domain analysis; BER performance; N-continuous OFDM; N-continuous orthogonal frequency division multiplexing; TDSP; adjacent symbols; basis vectors; complexity reduction; computational complexity; frequency domain; higher-order derivatives; large-scale matrix operations; linear combination; low-complexity time-domain signal processing; sidelobe suppression; small-scale matrix operations; Complexity theory; Frequency-domain analysis; OFDM; Signal processing algorithms; Smoothing methods; Time-domain analysis; Vectors; N-continuous; OFDM; complexity; sidelobe suppression; time-domain signal processing (TDSP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655513
  • Filename
    6655513