一种双门限分簇协作频谱智能感知算法  

A Double-threshold Clustering Cooperative Spectrum Sensing Algorithm for Cognitive Radio Sensor Networks

作　　者：杨晓伟 吴海青[1] 徐健 包佳立 YANG Xiao-wei;WU Hai-qing;XV Jian;BAO Jia-li(Nanjing Forestry University,Nanjing 210037,China)

机构地区：[1]南京林业大学,南京市210037

出　　处：《无线通信技术》2021年第2期32-35,40,共5页Wireless Communication Technology

摘　　要：基于门限值的能量检测是一种常用频谱感知技术,传统单门限能量检测方法不灵活且不准确。本文提出了一种基于双门限分簇自适应协作频谱感知算法。首先,基于噪声不确定性设置双门限值,在双门限值范围外进行硬判决,否则进行软判决。根据判决结果,基站将传感器节点划分为不同的簇。融合中心根据融合规则,设置分簇门限值,进行进一步频谱检测。仿真结果表明,该算法可以提高频谱感知的准确性,避免不必要的能量消耗。Energy detection based on the threshold is one of common used spectrum sensing techniques.The energy detection using a single threshold is inflexible and inaccuracy.In this paper,we propose a double-threshold adaptive clustering cooperative spectrum sensing algorithm.Based on the noise uncertainty,determine values of two thresholds.If the received signal is out of the range of the double-threshold,the hard judgment is used.Otherwise,the soft judgment is used.According to the judgment,the base station divides sensors into several clusters.Then,according to the fusion rule,the fusion makes a further judgment.The simulation results show that the proposed algorithm can improve the accuracy of the spectrum sensing and avoid unnecessary energy consumed by the spectrum sensing.

关 键 词：频谱感知 无线认知传感器网络 能量检测 自适应分簇 

分 类 号：TN915[电子电信—通信与信息系统]