2015
DOI: 10.1109/tsp.2015.2401532
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Spectrum Sensing Under RF Non-Linearities: Performance Analysis and DSP-Enhanced Receivers

Abstract: Intermodulation products arise as a result of low noise amplifier (LNA) and mixer non-linearities in wideband receivers. In the presence of strong blockers, the intermodulation distortion can deteriorate the spectrum sensing performance by causing false alarms and degrading the detection probability.We theoretically analyze the impact of third-order non-linearities on the detection and false alarm probabilities for both energy detectors and cyclostationary detectors under front-end LNA non-linearities.We show … Show more

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Cited by 31 publications
(21 citation statements)
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References 30 publications
(49 reference statements)
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“…The effect of shadowing was clearly seen in the simulation results. The main contribution of this paper was to analyze the performance degradation in spectrum sensing due to inherent nonlinearity of an LNA in the Poisson field of interferer considering intranetwork interference, which models the more realistic scenarios than the ones in the existing literatures [10,15]. It was also shown that the noise model after LNA is more accurate by using the multivariate Gaussian mixture model.…”
Section: Resultsmentioning
confidence: 99%
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“…The effect of shadowing was clearly seen in the simulation results. The main contribution of this paper was to analyze the performance degradation in spectrum sensing due to inherent nonlinearity of an LNA in the Poisson field of interferer considering intranetwork interference, which models the more realistic scenarios than the ones in the existing literatures [10,15]. It was also shown that the noise model after LNA is more accurate by using the multivariate Gaussian mixture model.…”
Section: Resultsmentioning
confidence: 99%
“…This is due to the fact that increasing results in the increase in the effective SNR or SIMDR [15,20]. It is noted that the receiver operating under the high input power experiences more severe nonlinearity behavior.…”
Section: Effect Of Varying Number Of Samplesmentioning
confidence: 99%
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