多天线感知无线电中的协作频谱感知算法

不同于以往单天线感知用户的频谱感知研究，该文提出多天线情形下基于最优功率分配和协作分集的频谱感知算法。根据信道条件利用奇异值分解(SVD)在每根天线上进行功率注水，并考虑多天线情况下两用户网络协作频谱感知授权用户的判决检测过程，利用基于指数衰减的路径损耗模型，分析多天线感知网络的各态历经容量和检测授权用户的概率及时间。理论分析及仿真结果表明，多天线感知用户通过最优功率分配和协作频谱感知不仅使感知网络具有最大的各态历经容量，同时改善系统的检测性能。

Cooperative Spectrum Sensing Algorithm in Multi-antenna Cognitive Radio

Being different from previous spectrum sensing research for single-antenna cognitive users, a spectrum sensing algorithm based on optimal power allocation and cooperative diversity under multi-antenna scenario is proposed. It used Sigular Value Decomposition(SVD) to implement power water-filling on each antenna based on channel condition, and the detection process of the cooperative spectrum sensing for the primary user is considered in the two-user network with multi-antenna. The ergodic capacity, detection probability and detection time in cognitive network with multi-antenna are analyzed with path-loss model based on exponential attenuation. Theory analysis and simulation results show that cognitive users with multi-antenna can not only make the cognitive network have maximal ergodic capacity, but also improve detection performance of the system through optimal power allocation and cooperative spectrum sensing.