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

Abstract

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

CLC Number:

TN92

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

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

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