提出了基于广义贝叶斯信息准则(GBIC)的认知无线电宽带频谱感知算法.该方案主要是利用GBIC准则估算出宽带授权频带中被主用户占用子带的个数,并确定其在宽带频段上的相应位置,从而完成宽带感知频段上的空闲频段定位以便于次级用户动态接入.理论分析和仿真结果表明,所提出的GBIC准则宽带频谱感知方案对先验信息的依赖程度低,可以有效地提高频谱感知性能,其性能十分接近传统的能量感知方案.
A generalized Bayesian information criterion (GBIC) based wideband spectrum sensing scheme was proposed for cognitive radios. The proposed algorithm first estimates the number of subbands occupied by primary users in the licensed frequency band under the GBIC mechanism. Subsequently, their positions in the wide spectrum are identified. In this way, the idle subbands can be dynamically accessed by the secondary users. Simulations illustrate that the proposed wideband sensing scheme of GBIC, is capable of significantly improving the spectrum sensing performance and very close to the conventional energy detection scheme.