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频谱感知是实现认知无线电的关键技术之一,协作能一定程度上消除多径和阴影影响,为了提高频谱检测性能,提出一种基于阈值选择信噪比的协作频谱检测的方法,该方法利用空间位置信息估计出信噪比,将检测数据和估计的信噪比送往融合中心,利用阈值设置,对信噪比进行算法选择,选出具有较好的SNR感知用户数据,结合能量检测法进行判断。仿真结果表明:在信噪比分布不均匀的情况下,该方法能较好的提高系统的检测性能,减少融合的用户数目。
Spectrum sensing is one of the key technologies to realize cognitive radio. Collaboration can eliminate the influence of multipath and shadow to some extent. In order to improve the performance of spectrum detection, a method of cooperative spectrum detection based on threshold selection of signal to noise ratio is proposed. Spatial position information is used to estimate the signal to noise ratio. The detection data and estimated signal to noise ratio are sent to the fusion center. The threshold setting is used to select the signal to noise ratio and select the user data with better SNR perception. Combined with energy detection Judge. The simulation results show that the proposed method can improve the detection performance of the system and reduce the number of converged users under the condition of uneven signal-noise ratio distribution.