分布式的1 bit压缩频谱感知算法
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。...
Saved in:
| Published in | 电信科学 Vol. 30; no. 9; pp. 106 - 110 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国通信学会
01.09.2014
人民邮电出版社有限公司 杭州电子科技大学通信工程学院 杭州310018 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%杭州电子科技大学通信工程学院 杭州310018 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1000-0801 |
| DOI | 10.3969/j.issn.1000-0801.2014.09.015 |
Cover
| Summary: | 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。 |
|---|---|
| Bibliography: | compressed sensing, spectrum sensing, 1 bit quantization Zhao Zhijin, Hu Weikang, Hu Junwei （1. School of Telecommunication Engineering of Hangzhou Dianzi University, Hangzhou 310018, China; 2. State Key Lab of Information Control Technology in Communication System of No.36 Research Institute, China Electronic Technology Corporation, Jiaxing 314001, China） 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 perform |
| ISSN: | 1000-0801 |
| DOI: | 10.3969/j.issn.1000-0801.2014.09.015 |