利用身份代码加速分布式协作频谱感知

Quickening distributed cooperative spectrum sensing by using identity code

频谱感知是认知无线电领域的关键技术。在协作频谱感知中,分布式一致性加权算法检测性能较好但收敛速度慢。该文引入身份代码概念,用以区分各次用户的状态值和权值,避免节点间数据的重复融合,并提出了一种快速分布式加权协作频谱感知算法。仿真结果表明,所提算法检测性能与分布式一致性加权算法相当,同时收敛速度明显提升。

Spectrum sensing is a key technology in cognitive radio. The detection performance of the distributed average weighted gain combining （DAWGC） algorithm is excellent, but low convergence rate. In this paper, the identity code is employed to differentiate that values and weight are from which secondary user respectively and avoid repetitive data fusion among secondary users, and a fast distributed weighted cooperative spectrum sensing algorithm is proposed. With comparison to DAWGC algorithm, numerical simulations show that the proposed algorithm has comparable detection performance and high convergence rate significantly.