基于证据间相似性的协作频谱感知方法与性能分析

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

通信学报 ›› 2020, Vol. 41 ›› Issue (12): 139-147.doi: 10.11959/j.issn.1000-436X.2020245

基于证据间相似性的协作频谱感知方法与性能分析

孙志国, 任欣悦, 陈增茂, 刁鸣

哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨 150001

修回日期:2020-10-31 出版日期:2020-12-25 发布日期:2020-12-01
作者简介:孙志国（1977- ），男，黑龙江哈尔滨人，博士，哈尔滨工程大学教授、博士生导师，主要研究方向为认知通信电子战。
任欣悦（1995- ），女，黑龙江肇东人，哈尔滨工程大学硕士生，主要研究方向为认知无线电、协作频谱感知算法。
陈增茂（1981- ），男，河北宁晋人，博士，哈尔滨工程大学副教授，主要研究方向为认知无线电、干扰建模、通信对抗等。
刁鸣（1960- ），男，黑龙江哈尔滨人，哈尔滨工程大学教授、博士生导师，主要研究方向为宽频带信号检测、处理与识别，通信信号处理。
基金资助:
国家自然科学基金资助项目(61571149)

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

Zhiguo SUN, Xinyue REN, Zengmao CHEN, Ming DIAO

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China

Revised:2020-10-31 Online:2020-12-25 Published:2020-12-01
Supported by:
The National Natural Science Foundation of China(61571149)

摘要/Abstract

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。

关键词: 协作频谱感知, DS证据理论, 证据悖论, 协作开销, 证据间相似性

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.

Key words: cooperative spectrum sensing, Dempster-Shafer evidence theory, evidence paradox, cooperative overhead, similarity between evidence

中图分类号:

TN92

孙志国, 任欣悦, 陈增茂, 刁鸣. 基于证据间相似性的协作频谱感知方法与性能分析[J]. 通信学报, 2020, 41(12): 139-147.

Zhiguo SUN, Xinyue REN, Zengmao CHEN, Ming DIAO. Cooperative spectrum sensing method and performance analysis based on similarity between evidences[J]. Journal on Communications, 2020, 41(12): 139-147.

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方法	无冲突数据	0信任悖论	1信任悖论	全冲突悖论
传统方法	适用	失效	适用	失效
SNR加权法	适用	失效	适用	失效
OR+DS融合法	适用	适用	适用	适用
距离函数法	适用	适用	适用	适用
JS散度+熵法	适用	适用	适用	适用
EBA函数法	适用	适用	适用	适用
本文方法	适用	适用	适用	适用

基于证据间相似性的协作频谱感知方法与性能分析

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

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