基于D-S证据理论的循环平稳频谱协作感知

为了避免干扰授权用户的正常通信,认知无线电系统需要较好的频谱检测性能。提出了基于循环平稳特征和D-S证据理论的多天线多用户频谱协作感知方法。分析了多天线接收信号的谱相关函数,在频域按照最大比合并的方法合并各天线接收信号,得到合并信号的谱相关函数。依据谱相关函数的能量,在多用户中采用D-S证据理论做协作频谱检测。仿真分析表明,基于循环平稳特征和D-S证据理论的多天线多用户频谱协作感知方法可有效改善认知无线电系统检测性能。

Cyclostationary Spectrum Collaborative Sensing Based on D-S Evidence Theory

To avoid interfering with the communication of licensed users, excellent performance of spectrum sensing is required for cognitive radio systems. A spectrum collaborative sensing technique based on cyclostationary signatures and D-S evidence theory for multiple antennas and multiple users is proposed. The spectrum correlation function of signals received by multiple antennas is ana- lyzed, and the spectrum correlation function of combined signals is obtained through maximal ratio combination of each received signal in frequency domain. Based on the energy of spectrum correlation function,collaborative spectrum sensing is performed according to D- S evidence theory for multiple cognitive users. The simulation and analysis indicate that the spectrum collaborative sensing technique based on cyclostationary signatures and D-S evidence theory for multiple antennas and multiple cognitive users can improve the perform- ance of spectrum sensing in cognitive radio system.