基于分簇加权的认知无线电协作检测算法  被引量:2

Multi-Cluster Cooperative Detection Algorithm for Cognitive Radio Based on Weight

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作  者:李涛 

机构地区:[1]驻哈尔滨地区舰船配套代表室,黑龙江哈尔滨150001

出  处:《无线电工程》2015年第9期41-44,共4页Radio Engineering

基  金:国家自然科学基金资助项目(61201143)

摘  要:协作检测是认知无线电技术(Cognitive Radio)的重要组成部分,通过多认知用户协作可以提高信道衰落或者阴影效应而带来的低检测性能。传统的协作检测由于认知用户过多并且个别用户信道状况较差,因而检测性能较低。并且各用户在中心决策中都占有相同的比重,忽略了单用户的检测性能。介绍了一种采用加权系数的多簇协作检测算法,根据认知用户的信噪比配以不同的权重,以使检测概率达到最大;通过将认知用户分簇,并选择簇内信道特性最好的用户向决策中心传送信息,有效地提高了最终决策的准确度。仿真结果表明,本文算法具有较好的检测性能,与传统算法相比,能够提高检测概率和减小虚警概率。Cooperative detection is an important part in cognitive radio.Through the cooperation of some cognitive users, the per- formanee 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 

分 类 号:TN911.23[电子电信—通信与信息系统]

 

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