1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model

Zhijin Zhao; Weikang Hu; Junwei Hu

doi:10.3969/j.issn.1000-0801.2014.09.015

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1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model

research and development | 更新时间：2024-06-05

- 1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
- Telecommunications Science Vol. 30, Issue 9, Pages: 106-110(2014)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1000-0801.2014.09.015
  CLC：
- Published Online：2014-09，
  
  Published：20 September 2014
- 稿件说明：
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Zhijin Zhao, Weikang Hu, Junwei Hu. 1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model[J]. Telecommunications science, 2014, 30(9): 106-110.
DOI：

Zhijin Zhao, Weikang Hu, Junwei Hu. 1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model[J]. Telecommunications science, 2014, 30(9): 106-110. DOI： 10.3969/j.issn.1000-0801.2014.09.015.

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。

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.

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references

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