基于加权一致优化的宽带分布式协作压缩频谱感知算法

闫玉芝; 李有明; 周桂莉; 吴耀辉

doi:10.11959/j.issn.1000-0801.2016259

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基于加权一致优化的宽带分布式协作压缩频谱感知算法

研究与开发 | 更新时间：2024-06-05

- 基于加权一致优化的宽带分布式协作压缩频谱感知算法
- Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization
- 电信科学 2016年32卷第11期页码：71-76
- 作者机构：
  
  1. 宁波大学通信技术研究所，浙江宁波 315211
  2. 浙江万里学院电子信息学院，浙江宁波 315100
- 作者简介：
  
  [ "闫玉芝（1989-），男，宁波大学硕士生，主要研究方向为认知无线电频谱感知、压缩感知。" ]
  [ "李有明（1963-），男，宁波大学教授、博士生导师，主要研究方向为宽带通信、电力线通信、协作中继、认知无线电等。" ]
  [ "周桂莉（1992-），女，宁波大学硕士生，主要研究方向为水声通信中资源分配。" ]
  [ "吴耀辉（1979-），男，宁波大学博士生，浙江万里学院讲师，主要研究方向为OFDM系统资源分配和频谱感知。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61571250);宁波市自然科学基金资助项目;The Natural Science Foundation of Ningbo of China(2015A610121);宁波市自然科学基金资助项目;Ningbo Natural Science Foundation of China(2016A610225)
- DOI：10.11959/j.issn.1000-0801.2016259
  中图分类号： TN929
- 网络出版日期：2016-11，
  
  纸质出版日期：2016-11-20
- 稿件说明：
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闫玉芝, 李有明, 周桂莉, 等. 基于加权一致优化的宽带分布式协作压缩频谱感知算法[J]. 电信科学, 2016,32(11):71-76.

Yuzhi YAN, Youming LI, Guili ZHOU, et al. Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization[J]. Telecommunications science, 2016, 32(11): 71-76.
闫玉芝, 李有明, 周桂莉, 等. 基于加权一致优化的宽带分布式协作压缩频谱感知算法[J]. 电信科学, 2016,32(11):71-76. DOI： 10.11959/j.issn.1000-0801.2016259.

Yuzhi YAN, Youming LI, Guili ZHOU, et al. Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization[J]. Telecommunications science, 2016, 32(11): 71-76. DOI： 10.11959/j.issn.1000-0801.2016259.

摘要

宽带分布式协作压缩频谱感知不仅降低过高的采样速率，而且改善在低信噪比环境下的频谱感知性能。为进一步提高频谱感知性能，提出一种基于加权一致优化的宽带分布式协作压缩频谱感知算法。该算法根据当前迭代重构出的频谱信号设定下一次迭代重构的权值，促使频谱信号上存在授权用户的子频段产生信号值，降低重构出错的可能性。仿真结果表明，该算法不仅能够增大频谱重构的准确性，而且能够降低感知过程的时间和通信开销，改善频谱感知性能。

Abstract

Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate

but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum sensing performance

a wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization was proposed.In this algorithm

the next iterative reconstruction weights were determined according to the current iterative reconstructed spectrum signal

which can encourage the sub-band occupied by primary user to generate signal value and decrease the likelihood of incorrect reconstruction.Simulation results show that the proposed algorithm can not only increases the spectral reconstruction accuracy

but also reduces time and communication costs of the sensing process

and improves the spectrum sensing performance.

关键词

Keywords

references

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CANDE J , WAKIN M B . An introduction to compressive sampling [J ] . IEEE Signal Processing Magazine , 2008 , 25 ( 2 ): 21 - 30 .

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SHI W , LING Q , YUAN K , et al . On the linear convergence of the ADMM in decentralized consensus optimization [J ] . IEEE Transactions on Signal Processing , 2014 , 62 ( 7 ): 1750 - 1761 .

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