Improved Maximum-Minimum Eigenvalue Detection with a Single Antenna Using Jackknifing

被引：0
|
作者：
Du, Ruiyan [1 ]
Guo, Shouming [2 ]
Liu, Fulai [1 ]
机构：
[1] Northeastern Univ Qinhuangdao, Engineer Optimizat & Smart Antenna Inst, Qinhuangdao, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Peoples R China
来源：
MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷
基金：
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词：
Cognitive radio; Eigenvalue-based spectrum sensing; Jackknifing; SPECTRUM SENSING ALGORITHMS; COGNITIVE RADIO;
D O I：
10.4028/www.scientific.net/AMM.556-562.2806
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Spectrum sensing is critical for cognitive radio networks as it allows a secondary user to find spectrum holes for opportunistic reuse. In this paper, an improved maximum-minimum eigenvalue detection method is proposed for a cognitive user equipped with a single receiving antenna. The proposed method utilizes the temporal smoothing technique to form a virtual multiple antennas structure. At the same time, the jackknifing resampling strategy is employed to improve the detection performance. Simulation results are presented to verify the effectiveness of the proposed method.
引用
收藏
页码：2806 / +
页数：2
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