• DocumentCode
    1971104
  • Title

    Improvement of coexisting signal detection for MB-OFDM system

  • Author

    Ohno, Kohei ; Itami, Makoto ; Ikegami, Tetsushi

  • Author_Institution
    Dept. of Appl. Electron., Tokyo Univ. of Sci., Noda, Japan
  • fYear
    2012
  • fDate
    17-20 Sept. 2012
  • Firstpage
    352
  • Lastpage
    356
  • Abstract
    This paper discusses coexisting signal detection technique of the interference DAA (Detect And Avoid) operation. In this paper, the emission of the coexisting singles and their occupied frequency band detection technique for the MB-OFDM (Multi-Band OFDM) system is proposed in order to improve the DER (miss Detection Error Rate) and the FAR (False Alarm Rate). The received coexisting signal is assumed to be the sum of the sinusoidal waves. The sinusoidal signal is detected and it is subtracted from the received signal iteratively to minimize the evaluation function. The frequency, phase and amplitude of the sinusoidal signals are estimated using the evaluation function and the Newton method. Obtained amplitude coefficients are combined per the bandwidth and the results are compared with the threshold to detect coexisting signal having wider bandwidth than FFT bin. The DER and FAR are evaluated to show the effectiveness of the proposed detection technique. The performances of the proposed detection scheme are improved comparing to the ordinary scheme using FFT.
  • Keywords
    Newton method; OFDM modulation; cognitive radio; radiofrequency interference; signal detection; DER; FAR; FFT bin; MB-OFDM system; Newton method; cognitive radio; detect and avoid operation; evaluation function minimization; false alarm rate; frequency band detection technique; interference DAA operation; miss detection error rate; multiband OFDM system; received coexisting signal; signal detection technique; sinusoidal signal detection; sinusoidal wave; Bandwidth; Frequency estimation; Newton method; Noise; OFDM; Signal detection; WiMAX; Cognitive Radio; Evaluation Function; Interference Detect and Avoid; Multi Bband-OFDM; Newton Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra-Wideband (ICUWB), 2012 IEEE International Conference on
  • Conference_Location
    Syracuse, NY
  • ISSN
    2162-6588
  • Print_ISBN
    978-1-4577-2031-4
  • Type

    conf

  • DOI
    10.1109/ICUWB.2012.6340484
  • Filename
    6340484