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A New PU Perceptual Algorithm for Five Consecutive Sensing Items

Energy detector is the most common way of idle spectrum sensing in cognitive radio. However, it is difficult to meet spectrum sensing performance requirements under low SNR conditions. We propose a novel algorithm that considers five consecutive sensing items. The algorithm is named five items energy detection (5IED), which makes a decision in one perception item, taking into account two sensing items immediately before the project and two sensing items immediately after the project. The algorithm proposed in this paper is to use the duty cycle value of the primary user (PU) activity to track the change of PU state. In the presence of noise uncertainty, theoretical analysis and simulation show that 5IED has better detection probability and robustness than classical energy detection (CED) algorithm. At the same time, we compare 5IED with other algorithms in terms of complexity and average detection time. In addition, we also discuss and compare the performance of each detector under different channel models.