基于压缩感知的宽带协作频谱感知方法

A strategy for wideband cooperative spectrum sensing based on compressed sensing

在宽带频谱中,存在多个子带同时未被使用的情况.针对宽带频谱的稀疏性,提出了基于压缩感知的宽带协作频谱感知算法.该算法是一种多子带联合检测方法,多个认知用户独立地对宽带频谱进行压缩采样,利用重构算法恢复原信号,并将感知结果发给融合中心,由融合中心按照一定的协作规则作出判决.相比传统的协作感知方法,文中提出的算法能降低采样频率和硬件处理能力的要求.同时仿真结果表明,在较低信噪比和衰落的情况下,该算法获得一定的协作增益,能够提高实时性并显著改善认知无线电网络的频谱感知性能.

In wideband spectrum,several sub bands has not been used in the same time.This paper proposed a strategy for wideband cooperative spectrum sensing based on compressed sensing.The algorithm was a joint detection method in multiband.Cognitive users sampled the wideband spectrum in a compressed manner independently,and then cognitive users used the reconstruction strategy to restore the original signal and sent sensing results to the fusion center,which made the final decision according to the cooperative rule.Compared with the traditional method of collaborative spectrum sensing,it could reduce not only the sampling rate but also hardware processing requirements.Simulation results showed that the method had a better cooperative gain under low SNR circumstances,and significantly improved the performance of spectrum sensing in cognitive radio network.