Research Article
Analysis of the Effect of Nonlinear Low Noise Amplifier with Memory for Wideband Spectrum Sensing
@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
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.
