Improved Energy Detector for Full Duplex Sensing

Under current popularity of full duplex radio, this paper explores the adaption of energy detector (ED) to full duplex scenario. To improve sensing performance,firstly a correlation based channel estimation algorithm is formulated to cancel out self-interference. We then notice traditional ED has a long delay in finding sensing error. To tackle this problem, sliding window ED is proposed, in which samples utilized for different sensing instances are allowed to overlap. Moreover, it is also observed that sensing performance degrades seriously when primary user sate changes in the sensing period, which happens frequently in full duplex sensing. Therefore, weighted ED is proposed, in which samples at the end of the sensing period are assigned bigger weights. Simulation results show that our strategies can better adapt energy detector to full duplex sensing with marginal loss in accuracy.