基于观测矩阵优化的自适应压缩频谱感知

王韦刚; 杨震; 顾彬; 胡海峰

doi:10.3969/j.issn.1000-436x.2014.08.005

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基于观测矩阵优化的自适应压缩频谱感知

学术论文 | 更新时间：2024-10-11

- 基于观测矩阵优化的自适应压缩频谱感知
- Adaptive compressed spectrum sensing based on optimized measurement matrix
- 通信学报 2014年35卷第8期页码：33-39
- 作者机构：
  
  1. 南京邮电大学教育部宽带无线通信和传感网技术重点实验室，江苏南京 210003
  2. 南京邮电大学电子科学与工程学院，江苏南京 210003
  3. 东南大学移动通信国家重点实验室，江苏南京 210008)
- 作者简介：
  
  [ "王韦刚（1975-），男，江西安福人，南京邮电大学博士生、副教授，主要研究方向为压缩感知在认知无线电中的应用技术。" ]
  [ "杨震（1961-），男，江苏苏州人，博士，南京邮电大学教授，主要研究方向为无线通信与网络信号处理以及现代语音通信技术。" ]
  [ "顾彬（1983-），男，江苏扬州人，南京邮电大学博士生，主要研究方向为认知无线电中的频谱感知技术。" ]
  [ "胡海峰（1973-），男，安徽六安人，博士，南京邮电大学副教授，主要研究方向为面向网络的信号处理以及无线传感网技术。" ]
- 基金信息：
  
  国家重点基础研究发展计划（“973”计划）基金资助项目;The National Basic Research Program of China(973 Program)(2011CB302903);国家自然科学基金资助项目;The National Natural Science Foundation of China(60971129);国家自然科学基金资助项目;The National Natural Science Foundation of China(61071092);国家自然科学基金资助项目;The National Natural Science Foundation of China(61271335);南京邮电大学青蓝计划基金资助项目;Nanjing University of Posts and Telecommunications Blue Plan(NY210038);东南大学移动通信国家重点实验室开放研究基金资助项目;Southeast University State Key Laboratory of Mobile Communications Research Fund(2011D04);江苏省博士后科研基金资助项目;The Post-Doctoral Research of Jiangsu Province Funding Schemes(1101125C);中国博士后科学基金面上基金资助项目;The Post-Doctoral Science Foundation of China(2012M511309)
- DOI：10.3969/j.issn.1000-436x.2014.08.005
  中图分类号： TN92
- 网络出版日期：2014-08，
  
  纸质出版日期：2014-08-25
- 稿件说明：
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王韦刚, 杨震, 顾彬, 等. 基于观测矩阵优化的自适应压缩频谱感知[J]. 通信学报, 2014,35(8):33-39.

Wei-gang WANG, Zhen YANG, Bin GU, et al. Adaptive compressed spectrum sensing based on optimized measurement matrix[J]. Journal on communications, 2014, 35(8): 33-39.
王韦刚, 杨震, 顾彬, 等. 基于观测矩阵优化的自适应压缩频谱感知[J]. 通信学报, 2014,35(8):33-39. DOI： 10.3969/j.issn.1000-436x.2014.08.005.

Wei-gang WANG, Zhen YANG, Bin GU, et al. Adaptive compressed spectrum sensing based on optimized measurement matrix[J]. Journal on communications, 2014, 35(8): 33-39. DOI： 10.3969/j.issn.1000-436x.2014.08.005.

摘要

推导了自适应压缩感知中的重构估算误差，研究了如何降低观测矩阵列向量之间的自相关性，分析了观测矩阵优化对压缩感知重构算法的影响。将观测矩阵优化与压缩感知自适应过程相结合，提出了基于观测矩阵优化的自适应压缩频谱感知算法。仿真结果证实，所提算法比传统算法重构时产生的均方误差(MSE)更低，在同一观测次数下检测概率更高，在达到同等接收操作性能(ROC)时所需观测次数更少。

Abstract

The estimation error of reconstruction by adaptive compressed sensing was derived

and the column vector autocorrelation of the observation matrix was reduced

and the impact of optimization process on compressed sensing re-construction algorithm was analyzed. Combining the observation matrix optimization and adaptive process

the spectrum sensing algorithm of optimized adaptive compression based on observation matrix was proposed. The simulation results show that the mean square error (MSE) of proposed algorithm is lower than traditional algorithm

and the probability of detection of proposed algorithm is higher on the same number of observations

and the required number of observations is fewer when achieving the same receiver operating performance (ROC).

关键词

Keywords

references

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