电信科学 ›› 2014, Vol. 30 ›› Issue (9): 106-110.doi: 10.3969/j.issn.1000-0801.2014.09.015

• 研究与开发 • 上一篇    下一篇

分布式的1bit压缩频谱感知算法

赵知劲1,2,胡伟康1,胡俊伟1   

  1. 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
  • 出版日期:2014-09-20 发布日期:2017-07-05
  • 基金资助:
    电科院预研基金资助项目;浙江省研究生创新科技基金资助项目

1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model

Zhijin Zhao1,2,Weikang Hu1,Junwei Hu1   

  1. 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
  • Online:2014-09-20 Published:2017-07-05

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。

关键词: 压缩感知, 频谱感知, 1bit量化

Abstract:

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.

Key words: compressed sensing, spectrum sensing, 1 bit quantization

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