无线电工程Issue(9)：41-44,4.DOI:10.3969/j.issn.1003-3106.2015.09.11
基于分簇加权的认知无线电协作检测算法
Multi-Cluster Cooperative Detection Algorithm for Cognitive Radio Based on Weight
摘要
Abstract
Cooperative detection is an important part in cognitive radio.Through the cooperation of some cognitive users,the per⁃formance of weak detection can improve in the case of channel fading and shadow effect.Traditional cooperative detection sometimes is weak because of too many detection users and individual user’s bad channel.Moreover,each user has the same proportion in the deci⁃sion of the center,and the detection performance of the single user is often ignored.A multi⁃cluster cooperative detection algorithm based on weighing is proposed.Through giving cognitive users different weights according to their SNR,the detection probability can reach the maximum.And through dividing the uses into clusters and choosing the user with the best channel characteristic to report to the decision centre,the precision of final decision can be improved effectively. Simulations show that our algorithm has a better detection perform⁃ance,increases the detection probability,and decreases the alarm probability comparing with the traditional algorithm.关键词
认知无线电/协作检测/多簇检测/簇内加权Key words
cognitive radio/cooperative detection/multi-cluster detection/weighing in cluster分类
信息技术与安全科学引用本文复制引用
李涛..基于分簇加权的认知无线电协作检测算法[J].无线电工程,2015,(9):41-44,4.基金项目
国家自然科学基金资助项目（61201143）。 （）
