认知无线电加权联合频谱感知优化算法

刘鑫; 何晨光; 谭学治

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DOI:10.15961/j.jsuese.2013.01.024

工程科学与技术:2013,45(1):152-157

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认知无线电加权联合频谱感知优化算法

刘鑫^1,2, 何晨光^1,3, 谭学治¹

(1.哈尔滨工业大学通信技术研究所;2.南洋理工大学电气与电子工程学院;3.通信网信息传输与分发技术国家重点实验室)

Optimization Algorithm of Weighed Cooperative Spectrum Sensing in Cognitive Radio

Liu Xin¹, He Chenguang^1,2, Tan Xuezhi^1,3

(1.Communication Research Centre,Harbin Inst. of Technol.;2.School of Electrical and Electronic Eng.,Nanyang Technological Univ.;3.National Key Lab. of Sci. and Technol. on Info. Transmission and Dissemination in Communications and Networks)

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投稿时间：2012-06-03 修订日期：2012-11-16

中文摘要: 为了提高认知无线电联合频谱感知的性能，对加权联合频谱感知算法进行了研究，并对权重和观测时间2个感知参数进行了优化。算法基于给定的检测概率，通过选择最优的权重使认知无线电获得最小的虚警概率；还提出了二分算法，通过该算法，认知无线电能够获得最优的观测时间。仿真结果表明：相比未加权的联合频谱感知算法，提出的算法能够获得更低的虚警概率和更高的频谱利用率，并且相比穷举算法，二分算法的计算量要更低。提出的算法能够使认知无线电在授权用户的干扰容限内获得最大的频谱利用率。

中文关键词: 认知无线电信号检测加权凸优化统计值

Abstract:In order to improve the detection performance of cooperative spectrum sensing for cognitive radio (CR), the weighed cooperative sensing algorithm was investigated, by optimizing two sensing parameters including weight and observed time.The minimal false alarm probability was obtained by choosing the optimal weight under the given detection probability, while the optimal observed time was obtained through the proposed half searching. Simulations showed that compared to the traditional un-weighed cooperative sensing, the proposed algorithm could achieve lower false alarm probability and higher spectrum utilization, while the half searching could achieve lower computational complexity than the exhaustive searching. The results indicated that the proposed algorithm might make CR achieve the maximal spectrum utilization within the interference limit of licensed user.

keywords: cognitive radio signal detection weighing convex optimization statistics

文章编号：201200428 中图分类号： 文献标志码：

基金项目:国家自然科学基金资助项目(61071104)；通信网信息传输与分发技术重点实验室开放课题资助项目(ITD-U12004)

作者	单位
刘鑫	哈尔滨工业大学通信技术研究所南洋理工大学电气与电子工程学院
何晨光	哈尔滨工业大学通信技术研究所通信网信息传输与分发技术国家重点实验室
谭学治	哈尔滨工业大学通信技术研究所

Author Name	Affiliation
Liu Xin	Communication Research Centre,Harbin Inst. of Technol.
He Chenguang	Communication Research Centre,Harbin Inst. of Technol. School of Electrical and Electronic Eng.,Nanyang Technological Univ.
Tan Xuezhi	Communication Research Centre,Harbin Inst. of Technol. National Key Lab. of Sci. and Technol. on Info. Transmission and Dissemination in Communications and Networks

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引用文本：
刘鑫,何晨光,谭学治.认知无线电加权联合频谱感知优化算法[J].工程科学与技术,2013,45(1):152-157.
Liu Xin,He Chenguang,Tan Xuezhi.Optimization Algorithm of Weighed Cooperative Spectrum Sensing in Cognitive Radio[J].Advanced Engineering Sciences,2013,45(1):152-157.