基于两步式融合重构的压缩频谱检测方法

A Two-Step Compressed Spectrum Sensing Scheme for Wideband Cognitive Radio

在宽带频谱检测技术中,针对传统分布式压缩感知方法(DCS)数据传输量大、能耗高的问题,提出了一种基于两步式融合重构的压缩频谱检测(TS-CSS)方法。该方法的数据重构过程分为先支撑集信息融合,后信号联合重构两步,通过支撑集信息融合获得的先验信息可指导信号的联合重构。仿真结果表明,联合重构时随机选择50%的用户参与,即可获得与传统DCS接近甚至更优的频谱检测性能,因而,该方法能够有效地降低系统数据传输量,节省频谱检测耗能。

A two-step compressed spectrum sensing scheme for wideband cognitive radio was proposed in order to reduce the huge data transmission overhead of the traditional DCS scheme. The CS reconstruction of this scheme was divided into two steps, i.e. the information fusion for the support set and the joint recovery of multiple signals, and the prior information obtained from the former step can guide the joint recovery of the latter step. Simulation results show that this scheme can achieve better performance than the traditional DCS scheme as long as 50% of users are involved in the joint recovery, which means that this scheme can reduce the data transmission overhead and save energy consumed greatly.