机构地区: 东南大学信息科学与工程学院移动通信国家重点实验室
出 处: 《信号处理》 2010年第7期1089-1093,共5页
摘 要: 通过对认知无线电频谱检测技术的研究,结合通信信号普遍存在的循环平稳特性,本文首先较为详细地阐述了循环功率谱的基本概念,随后提出了可应用于认知无线电频谱检测的基于二阶循环平稳特性的循环功率谱特征检测算法,并依据认知无线电的实际需求对检测算法进行了修正。在此基础上,以现代通信系统较为常用的QPSK调制信号进行了检测算法的仿真,并根据仿真结果对算法的有效检测性能进行了详细的分析,实际应用也验证了检测算法的可行性。 Through the research on the frequency spectrum detection technology for cognitive radio,firstly the basic concept of the cyclic power spectrum is described in details in this paper according to the cyclic stable character of the wireless communication signal. Then,in terms of the second-order cyclic stable character of the wireless communication signal,the cyclic power spectrum feature detection technology is proposed on the basis of the classic cyclic power spectrum detection technology,and modified according to the actual requirement of cognitive radio. Subsequently simulation is proceeded with the QPSK signal,which is adopted widely in modern communication system. Finally the effective performance of the detection algorithm is analyzed in details according to the result of the computer simulation,and the feasibility of the algorithm is verified by the actual application.