1st International Conference on 5G for Ubiquitous Connectivity

Research Article

Analysis of the Effect of Nonlinear Low Noise Amplifier with Memory for Wideband Spectrum Sensing

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  • @INPROCEEDINGS{10.4108/icst.5gu.2014.258112,
        author={Attaphongse Taparugssanagorn and Kenta Umebayashi and Janne Lehtoma"ki and Carlos Pomalaza-Ra'ez},
        title={Analysis of the Effect of Nonlinear Low Noise Amplifier with Memory for Wideband Spectrum Sensing},
        proceedings={1st International Conference on 5G for Ubiquitous Connectivity},
        publisher={IEEE},
        proceedings_a={5GU},
        year={2014},
        month={12},
        keywords={wideband spectrum sensing nonlinear distortion memory-polynomial exponential distribution},
        doi={10.4108/icst.5gu.2014.258112}
    }
    
  • Attaphongse Taparugssanagorn
    Kenta Umebayashi
    Janne Lehtoma"ki
    Carlos Pomalaza-Ra'ez
    Year: 2014
    Analysis of the Effect of Nonlinear Low Noise Amplifier with Memory for Wideband Spectrum Sensing
    5GU
    IEEE
    DOI: 10.4108/icst.5gu.2014.258112
Attaphongse Taparugssanagorn1,*, Kenta Umebayashi2, Janne Lehtoma"ki3, Carlos Pomalaza-Ra'ez4
  • 1: Wireless Information Security and Eco-Electronics Research Unit, National Electronics and Computer Technology Center, Pathum Thani, Thailand
  • 2: Tokyo University of Agriculture and Technology, Tokyo, Japan
  • 3: Centre of Wireless Communications, University of Oulu, Finland
  • 4: College of Engineering, Technology, and Computer Science, Department of Engineering, Purdue University, Indiana, USA
*Contact email: attaphongse.taparugssanagorn@nectec.or.th

Abstract

In wideband sensing receivers, especially in lowcost mass-product devices, the sensing operation is usually done in a range where the RF front-end components, such as the LNAs exhibit a nonlinear behavior. Consequently, intermodulation (IMD) and crossmodulation (XM) are generated and cause distortion in the spectrum sensing region. This paper investigates the impact on the threshold level setting of a wideband energy detection based spectrum sensing caused by a nonlinear LNA at the radio frequency (RF) front-end of a wideband cognitive radio receiver. The third and fifth order terms of the expansion of the nonlinearity characteristics are modeled using a memorypolynomial model. The main contribution of this study is the derivation of a proper threshold level for different frequency bins.