Combined energy detection and one-order cyclostationary feature detection techniques in cognitive radio systems

作     者：YUE Wen-jing ZHENG Bao-yu MENG Qing-min YUE Wen-jie 

作者机构：Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing 210003 China Department of Electronic Engineering Shanghai Jiaotong University Shanghai 200240 China Shanxi Institute of Educational Science Taiyuan 030009 China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2010年第17卷第4期

页      面：18-25页

核心收录：

学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 08[工学] 0839[工学-网络空间安全] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China (60972039,60972041) the Hi-Tech Research and Development Program of China (2009AA01Z241) the National Postdoctoral Research Program (20090451239) the Natural Science Fund for Higher Education of Jiangsu Province (09KJB510012) the Important National Science and Technology Specific Project of China (2009ZX03003-006) 

主　　题：cognitive radio （CR） spectrum sensing energy detector cyclostationary feature detector 

摘      要：One of the main requirements of cognitive radio systems is the ability to detect the presence of the primary user with fast speed and precise accuracy. To achieve that, a possible two-stage spectrum sensing scheme is suggested in this paper. More specifically, a fast spectrum sensing algorithm based on the energy detection is introduced focusing on the coarse detection. A complementary fine spectrum sensing algorithm adopts one-order cyclostationary properties of primary user＇s signals in time domain. Since the one-order feature detection is performed in time domain, the real-time operation and low-computational complexity can be achieved. Also, it drastically reduces hardware burdens and power consumption as opposed to two-order feature detection. The sensing performance of the proposed method is studied and the analytical performance results are given. The results indicate that better performance can be achieved in proposed two-stage sensing detection compared to the conventional energy detector.