分布式的1 bit压缩频谱感知算法  

1 bit Compressive Spectrum Sensing Algorithm Based on Distributed Model

作　　者：赵知劲[1,2] 胡伟康[1] 胡俊伟[1] 

机构地区：[1]杭州电子科技大学通信工程学院,杭州310018 [2]中国电子科技集团第36研究所通信系统信息控制技术国家级重点实验室,嘉兴314001

出　　处：《电信科学》2014年第9期106-110,共5页Telecommunications Science

基　　金：电科院预研基金资助项目(No.41101040102);浙江省研究生创新科技基金资助项目(No.YK2011062)

摘　　要：由于频谱感知中信道稀疏度动态变化,导致分布式频谱感知网络中节点间信息传输频繁,消耗感知网络通信带宽。为了缓解网络通信带宽压力,提出分布式的1 bit压缩频谱感知算法。各节点对感知数据进行压缩采样并1 bit量化,然后融合节点采用JSM-2模型对数据进行融合,最后通过BIHT算法重构信号频谱,实现频谱感知。仿真结果表明,在低信噪比和较少的采样数目下,分布式的1 bit压缩频谱感知算法能具有较好的频谱检测性能,是一种可实用的频谱感知方法。Since the actual sparsity of spectrum is unknown and time-varying, information transmit frequently between nodes in the distributed spectrum sensing network consumes communication bandwidth. To relieve the network communication bandwidth pressure, a spectrum algorithm based on 1 bit compressed sensing and distributed model was proposed. The sensing data of the nodes was compressive sampled and quantified in 1 bit, and then the data was fused in fusion node, through the mode of JSM-2. Finally the spectrum was reconstructed by the BIHT algorithm to implement spectrum sensing. Simulation results show that the proposed method has better spectrum detection performance with a few samples in low SNR, so it is a practical method of spectrum sensing.

关 键 词：压缩感知 频谱感知 1 bit量化 

分 类 号：TN92[电子电信—通信与信息系统]