Cooperative spectrum sensing method and performance analysis based on similarity between evidences

Zhiguo SUN; Xinyue REN; Zengmao CHEN; Ming DIAO

doi:10.11959/j.issn.1000-436X.2020245

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Cooperative spectrum sensing method and performance analysis based on similarity between evidences

Papers | 更新时间：2024-06-05

- Cooperative spectrum sensing method and performance analysis based on similarity between evidences
- Journal on Communications Vol. 41, Issue 12, Pages: 139-147(2020)
- 作者机构：
  
  哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨 150001
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61571149)
- DOI：10.11959/j.issn.1000-436X.2020245
  CLC： TN92
- Online First：2020-12，
  
  Published：25 December 2020
- 稿件说明：
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Zhiguo SUN, Xinyue REN, Zengmao CHEN, et al. Cooperative spectrum sensing method and performance analysis based on similarity between evidences[J]. Journal on Communications, 2020, 41(12): 139-147.
DOI：

Zhiguo SUN, Xinyue REN, Zengmao CHEN, et al. Cooperative spectrum sensing method and performance analysis based on similarity between evidences[J]. Journal on Communications, 2020, 41(12): 139-147. DOI： 10.11959/j.issn.1000-436X.2020245.

摘要

将DS证据理论应用到协作频谱感知算法中，针对经典DS证据理论中存在的证据悖论问题，提出了一种新的加权距离测度。首先，对每个感知用户进行证据提取。然后，根据提取到的基本概率分配数据，利用加权距离测度计算出各个感知用户的证据间相似性。最后，将证据间相似性转化成可信度，并利用可信度来加权平均感知用户的基本概率分配。针对协作开销大的问题，在证据提取后采用投影近似法调整基本概率分配来减少上传到融合中心的数据量。理论分析和仿真结果显示，与传统方法相比，所提方法能提高证据悖论问题存在时的检测性能，并且减少协作开销。

Abstract

The Dempster-Shafer(DS) evidence theory was applied to cooperative spectrum sensing and address the paradox of evidence in classical DS evidence theory

a new weighted distance measure based algorithm was proposed.Firstly

the evidences were extracted for each sensing user.Then

the weighted distance measure of extracted basic probability assignment data was adopted as the similarity between evidences of sensing users.Finally

the similarity of evidences was transformed into credibility

which was utilized as the weight to obtain the weighted average of basic probability assignment.In order to reduce the amount of data reported to the fusion center

the projection approximation method was employed to adjust the basic probability assignment.Both theoretical analysis and simulation results show that the proposed method can improve the detection performance of spectrum sensing while the paradox of evidence exists.Compared with traditional methods the cooperation overhead is reduced.

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references

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