Analysis and Improvement of Eigenvalue Spectrum Sensing in Cognitive Radio Networks

摘要：

In order to improve the detection probability of weak signals, a new eigenvalue-based detection scheme is used in cognitive radio system and attracts more attention. The limited distribution of the largest and the smallest eigenvalues is studied in the same framework based on Random Matrix Theory, and used to set the decision thresholds accordingly. A spectrum sensing scheme based on receiver nodes selection is proposed to significantly reduce the computational complexity with the expense of little detection performance loss.

作者: Zhiwen Liu Hang Zhang Shaofan Sun Desheng Zhu

作者单位: Institute of Communications Engineering PLAUST, Nanjing, China Beijing Institute of Information Tech Institute of Communications Engineering PLAUST, Nanjing, China Beijing Institute of Information Technology, Beijing, China

会议类型: 国际会议

会议名称: 2010年无线通信与信号处理国际会议

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）