摘要
针对认知无线网络中对于主用户检测感知存在的阴影衰落和如何有效提高频谱利用率等问题,提出了一种基于模糊理论的分布式协作处理方法。该方法通过采取各感知用户独立自主决策(双门限+模糊判决区)和综合接收分析一跳邻居感知处理信息等措施,实现认知无线网中各局部区域的自动聚类和自适应聚类边界(/过渡带)识别,从而实现对主用户的全面感知和大幅度地提高频谱利用率。仿真结果表明,该方法在感知处理信息传输开销、认知系统吞吐率、检测概率等方面明显优于传统的合作感知方法。
Aiming at the detection of the primary user in cognitive radio network for consideration the existing of the shadow and the try of increasing the frequency spectrum efficiency, a distributed cooperative spectrum sensing processing method is proposed. The automatic clustering and the adaptive recognizing of the cluster transitional zone are achieved by independent decisionmaking and analyzing the sensing information of the one-hop neighbors at every secondary user, and then the comprehensive sensing of the primary user and the raising of the frequency spectrum efficiency are attained by big percentages. The computer simulations show that the proposed method outperforms the traditional cooperative sensing in sensing information transmitting overhead, cognitive radio system throughput rate, detection probability and so on.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第6期1936-1940,共5页
Computer Engineering and Design
基金
河南省高等学校青年骨干教师资助计划基金项目(2010GGJS-214)
河南省教育厅自然科学研究计划基金项目(2008C510006)
关键词
模糊处理
分布协作
谱感知
阴影
自动聚类
fuzzy processing
distributed cooperation
spectrum sensing
shadow
automatic clustering
作者简介
董占奇（1973-），男，河南南阳人，博士，副教授，研究方向为通信信号检测、认知无线电。E-mail：dongzqxxgc@126．com
