• DocumentCode
    2807804
  • Title

    Two novel compressed-sensing algorithms for NBI detection in OFDM systems

  • Author

    Gomaa, Ahmad ; Islam, K. M Zahidul ; Al-Dhahir, Naofal

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    3294
  • Lastpage
    3297
  • Abstract
    We propose two novel algorithms based on compressed-sensing theory to estimate and cancel narrow band interference (NBI) in orthogonal frequency division multiplexing (OFDM) systems. Simulation results demonstrate the effectiveness of our proposed algorithms in estimating the NBI frequency support and approaching the performance with no NBI.
  • Keywords
    OFDM modulation; interference (signal); NBI detection; OFDM systems; compressed-sensing algorithms; narrow band interference; orthogonal frequency division multiplexing; Bandwidth; DSL; Estimation theory; Frequency estimation; Interference cancellation; Narrowband; Noise measurement; OFDM; Radiofrequency interference; Wireless communication; Compressive Sensing; NBI; Narrow-band Interference mitigation; OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496032
  • Filename
    5496032