Fusion spectrum sensing algorithm based on eigenvalues

Wenjing ZHAO; He LI; Minglu JIN

doi:10.11959/j.issn.1000-436x.2019201

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Fusion spectrum sensing algorithm based on eigenvalues

Papers | 更新时间：2024-06-05

- Fusion spectrum sensing algorithm based on eigenvalues
- Journal on Communications Vol. 40, Issue 11, Pages: 57-64(2019)
- 作者机构：
  
  大连理工大学信息与通信工程学院，辽宁大连 116024
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61701072)
- DOI：10.11959/j.issn.1000-436x.2019201
  CLC： TN914
- Online First：2019-11，
  
  Published：25 November 2019
- 稿件说明：
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Wenjing ZHAO, He LI, Minglu JIN. Fusion spectrum sensing algorithm based on eigenvalues[J]. Journal on Communications, 2019, 40(11): 57-64.
DOI：

Wenjing ZHAO, He LI, Minglu JIN. Fusion spectrum sensing algorithm based on eigenvalues[J]. Journal on Communications, 2019, 40(11): 57-64. DOI： 10.11959/j.issn.1000-436x.2019201.

摘要

针对目前的频谱资源使用效率低的问题，提出了一种新的基于特征值的频谱感知融合算法，从而更好地实现动态频谱共享。所提算法利用样本协方差矩阵的最大特征值、迹和所有特征值的几何均值构造了检测统计量。通过随机矩阵理论分析了所提算法的检测概率及虚警概率，并得到了理论门限的解析表示。此外，从理论上分析了所提算法中参数的选择问题。仿真实验表明，所提算法比已有的特征值检测算法具有更好的检测性能。

Abstract

Aiming at the problem of inefficient use of spectrum resources

a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue

the trace and the geometric mean of all eigenvalues of the sample covariance matrix.The detection probability and false alarm probability of the proposed method were analyzed using the random matrix theory

and the analytical representation of the theoretical threshold was obtained.In addition

the parameter selection of the proposed algorithm was analyzed theoretically.Simulation results show that the proposed algorithm has better detection ability than the existing eigenvalue detection algorithm.

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references

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