[1]陈晓思,杭燚灵. 小样本能量检测中的双门限协作频谱感知[J].计算机技术与发展,2017,27(03):193-196.
　CHEN Xiao-si,HANG Yi-ling. Double-threshold Cooperative Spectrum Sensing in Small Sample Energy Detection[J].,2017,27(03):193-196.
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 小样本能量检测中的双门限协作频谱感知()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年03期
页码:
193-196
栏目:
应用开发研究
出版日期:
2017-03-10

文章信息/Info

Title:
 Double-threshold Cooperative Spectrum Sensing in Small Sample Energy Detection
文章编号:
1673-629X（2017)03-0193-04
作者:
 陈晓思; 杭燚灵
 南京邮电大学 通信与信息工程学院
Author(s):
 CHEN Xiao-si; HANG Yi-ling
关键词:
 ; 协作频谱感知; 小样本; 能量检测; 双门限; 碰撞概率
Keywords:
 ; cooperative spectrum sensing; small sample; energy detection; double threshold; collision probability
分类号:
TP31
文献标志码:
A
摘要:
 为了克服传统的能量检测方法需要大量的采样样本,且在低信噪比时检测性能不佳的问题,提出了一种小样本能量检测中的双门限协作频谱感知方法.该方法采用双门限有效减少了在低信噪比的情况下认知用户对主用户的干扰,利用多维高斯近似处理检测结果实现小样本能量检测,并且在融合中心使用硬判决中最适合实际应用的"大多数投票"原则做出最终判决.仿真结果表明,与传统能量检测、小样本能量检测双门限以及小样本能量检测单门限协作频谱感知等方法相比,小样本能量检测中的双门限协作频谱感知算法具有在小样本和低信噪比情况下也可以有效减少频谱感知过程中认知用户对主用户的干扰程度,降低能量检测的漏检概率,提高系统的检测性能等优点.
Abstract:
 In order to overcome the drawbacks of demanding large quantity of samples for the conventional energy detection method and poor detection performance in the low SNR,a double-threshold cooperative spectrum sensing way is proposed in small sample energy de-tection. It adopts double-threshold to effectively reduce the interference of cognitive users to primary users in the low SNR,making the use of the cube-of-Gaussian approximation approach to implement small sample energy detection. In the center fusion, the proposed method takes a majority-voting rule which is the most suitable for practical using in hard decisions for the final decision. The simulation results show that compared to the conventional energy detection method,double-threshold energy detection method in small sample and single-threshold cooperative spectrum sensing method in small sample energy detection,the double-threshold cooperative spectrum sens-ing method in small sample energy detection can effectively reduce the interference of cognitive users to primary users in the condition of small sample size and low SNR,which can greatly reduce the miss detection probability of energy detection and improve the detection performance in the system.

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更新日期/Last Update: 2017-05-18