Impact evaluation of noise uncertainty in spectrum sensing under middleton class a noise

摘要: Reliable spectrum sensing is required to enable the effective use of Cognitive Radio (CR) networks. In practice, CRs not only have cope with impulsive noises but also need consider noise uncertainties. Small uncertainties parameters are inevitable in any practical detector and impact these must be considered. This paper considers energy based under Middleton Class A parameter Firstly, we show how analytical expressions probabilities detection false alarm can derived. Secondly, that mismatch Γ little on performance thus generally ignored uncertainty power σ2Z induce SNR Walls detector, which means that, no matter many observations obtained, cannot robustly detect primary signal. These results implications for designing an enhanced robust sensing.