基于SNR-Means的分簇协作式频谱感知方法OA

Hard clustering methods,represented by K-Means,exhibited weak adaptability to complex electromagnetic en-vironments,and their sensing performance was susceptible to the impact of interference.To address this issue,a clus-tered cooperative spectrum sensing method based on SNR-Means was proposed.This method abandoned the spatial layout-based clustering approach and instead started from the electromagnetic spectrum characteristics of the sensing en-vironment.Using the minimum sum of squared errors of the received signal-to-noise ratio among sensing nodes as the objective function,the sensing nodes were partitioned into multiple clusters with equidistant signal-to-noise ratios.Addi-tionally,factors such as spatial layout,connectivity,and local sensing performance were considered to reasonably desig-nate cluster heads.Based on the local spectrum sensing capability of the nodes,weights were appropriately assigned,and the sensing observation data from each node was weighted and fused,thereby improving spectrum sensing performance.The proposed method significantly reduces the impact of interference on the results of spectrum sensing and can be effec-tively applied to spectrum sensing in complex electromagnetic environments.