Spectrum Sensing for Cognitive Radios with Transmission Statistics: Considering Linear Frequency Sweeping

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The spectrum sensing performance of Cognitive Radios (CRs) considering noisy signal measurements and the time domain transmission statistics of the Primary User (PU) is considered in this paper. When the spectrum is linearly swept in the frequency domain continuously to detect the presence of the PU the time-domain statistics of the PU plays an important role in the detection performance. This is true especially when the PU's bandwidth is much smaller than the CR's scanning frequency range. The authors model the transmission statistics that is the temporal characteristics of the PU as a Poisson arrival process with a random occupancy time.