基于噪声估计的加权协同频谱感知技术

Weighted cooperative spectrum sensing based on noise estimation

频谱感知是认知无线电研究的关键技术之一,能量检测法是典型的频谱感知方法。针对传统的能量检测法和协同频谱感知存在的局限性,提出一种基于估计噪声的加权协同频谱感知方法,不同认知用户分别通过估计被测频段相邻保护(过渡)频带的噪声特性,近似作为授权用户频带内的噪声特性,以此估计噪声作为信任度进行加权协同数据融合。仿真结果表明,该方法能有效提高频谱检测性能。

Spectrum sensing is one of the key technologies in cognitive radio and energy detection is a typical method of it. According to the limitation of the conventional energy detection and cooperative detection,a kind of weighted cooperative spectrum detection method which is based on estimated noise is proposed.The primary user’s band noise characters which are as a credit quotiety used to data fusion are obtained approximately throughout estimating the noise of adjacent safeguard （transition） spectrum band detected by different secondary users.The analysis of the simulation results proves that the proposed scheme improves sensing performance obviously.