• DocumentCode
    1675642
  • Title

    Low-complexity and high-performance non-coherent cell identification detection schemes for OFDM-based systems

  • Author

    Ying-Tsung Lin ; Yi-Hsiang Wang ; Sau-Gee Chen ; Chih-Liang Chen

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2013
  • Firstpage
    4918
  • Lastpage
    4922
  • Abstract
    This work proposes two low-complexity and high-performance cell ID detection schemes for cellular communication systems. The first one, called real-correlation multiple differential detection (RMDD), derived from our previous work on cell ID detection called CERCD method, has much less complex multiplication operations while maintains the same performance. Although CERCD algorithm is more robust than existing cell detection methods in AWGN and multipath channel conditions, its performance still can be further improved. As such, the second scheme, called multiple differential detection (MDD), is proposed to improve CERCD method. Simulation results show that MDD has much better performance in frequency-selective channels. Performances and computational complexities of proposed schemes are also evaluated and analyzed under different channel environments to demonstrate their effectiveness.
  • Keywords
    AWGN channels; OFDM modulation; cellular radio; differential detection; multipath channels; AWGN channel; CERCD method; OFDM-based systems; RMDD; cell ID detection schemes; cellular communication systems; frequency-selective channels; multipath channel; noncoherent cell identification detection; real-correlation multiple differential detection; Computational complexity; Correlation; Noise; OFDM; Timing; WiMAX; 4G; Cell search; LTE; PSS; Wimax;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638596
  • Filename
    6638596